₦airaland Forum

FineResults Research Services invites you to training on:

Topics: Managing, Analysing and Interpreting M&E Data for Development Programmes in Agriculture

Date: 10th to 21st August 2020

Cost: USD 1600 or Ksh 120,000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

Enroll :Online training

INTRODUCTION
The key to success in implementation of any development programme relies on quality, reliable and timely data. More so, the progress in eradicating poverty and attaining zero hunger by 2030 as envisioned in Sustainable Development Goal one and two respectively relies on policies informed by reliable and timely data. This 10 days course aims at equipping the participants in the agricultural sector with adequate skills in developing data collection tools, designing questionnaire in Open Data Kit (ODK), exporting data to data analysis software such as SPSS and Stata, data management and analysis, monitoring and evaluation indicators and report writing.

DURATION
10 day

COURSE OBJECTIVES
By the end of the training, the participants will be able to;
• Gain skills in research design, data management and analysis in agriculture and rural development.
• Understand monitoring and evaluation (M&E) for agricultural programs
• Design agricultural projects using logical framework analysis approach
• Define different projects indicators
• Track performance indicators over the life of the project
• Evaluate agricultural programs achievement against the pre-set objectives and targets
• Conduct impact evaluations of agricultural programs

COURSE OUTLINE
Module 1: Introduction to research
• Introduction to research
• Different types of research
• Quantitative Research Approaches
• Qualitative research approaches
• Sampling techniques
• Quantitative data collection methods
• Qualitative data collection
• Developing questionnaire
• Designing questionnaire in ODK
• Exporting data to SPSS and Stata

COURSE OUTLINE
Module 1: Fundamentals of Monitoring and Evaluation
• What is M&E?
• Significance of M&E
• Principles and concepts in M&E
• M&E and the programme lifecycle
• M&E in agriculture programme design
• Complementary roles of monitoring and evaluation

Module 2: M&E frameworks
• Basics of M&E frameworks for rural development programmes
• M&E in rural me development context
• Development and operationalization of M&E frameworks
• Link between M&E and indicators
• Using data
• Using logical frameworks in monitoring and evaluation of rural and agricultural programmes

Module 3: Demand for data use in Agriculture
• Data use frameworks and basic concepts
• Data demand
• Information availability
• Information use

Module 4: Introduction to Research approaches for M&E in Agriculture Development Programmes
• Basic statistics concepts
• Research designs
• Data collection techniques and tools advantages and disadvantages
• Descriptive analysis techniques
• Inferential analysis techniques

Module 5: Data Management
• Data management dimensions
• Data management
• Data quality

Module 6: Data Analysis
• Descriptive analysis
• Inferential analysis
• Interpretation of findings

Module 7: Evaluation of Agricultural Development programmes
• Determining evaluation points from results framework
• Components of evaluations, implementation and process evaluations
• Evaluation designs
• Performance evaluation process
• Evaluation findings, sharing, and dissemination

Module 8: Impact Assessment of Agricultural Development programmes
• Introduction to impact evaluation
• Impact assessment in design
• Attribution in impact evaluation
• Methods and approaches to assessing impact

Module 9: M&E Results Use
• Measuring results in agriculture and rural development
• Use of M&E results to improve and strengthen agricultural and rural development
• Use of M&E lessons learned and best practices

Module 10 M&E Results Dissemination
• M&E reporting
• Design, monitoring, and evaluation of resilience interventions


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FineResults Research Services invites you to training on:

Topics: Advanced Statistical Analysis Using Statistical Package for Social Sciences (SPSS)

Date: 19th to 23rd October 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

Enroll :Online training

INTRODUCTION
SPSS means Statistical Package for the Social Sciences, and it is appropriate for complex statistical data analysis of social science data. SPSS software allows for thorough data management in terms of organizing and managing data and also offers the user a lot of control. Other benefits of the software in data analysis includes it is good in data screening and cleaning, Better organization of the output in a separate window with the data editor window which avoid any data being deleted. This 5 days course intend to equip participants with advanced techniques using SPSS software.

DURATION
5 days

TARGET PARTICIPANTS
Researchers, students, anyone who interested in enhancing his/ her data analysis skills

COURSE OBJECTIVES
By the end of the training, you will be able to:
• Understand both descriptive and inferential statistics
• Understand various data collection techniques and data processing methods
• Use basic functions and navigation within Stata and SPSS software
• Create and manipulate graphs and figures in SPSS software
• Handle statistical data analysis tasks in SPSS software
• Export the results of your analyses.

TOPICS TO BE COVERED
Module 1: Statistical Concepts
• Statistical Concepts
• Types of data
• Data Structures and Types of Variables
• Overview of SPSS
• Working with the SPSS software (file management, editing functions, viewing options, etc)
• Output Management
• Basics programming of SPSS

Module 2: Data Entry/Management
• Entering categorical and continuous data
• Defining and labeling variables
• Validation and Sorting variables
• Transforming, recording and computing variables
• Restructuring data
• Replacing missing values
• Merging files and restructuring
• Splitting files, Selecting cases and weighing cases
• Syntax and output

Module 3:
Statistical Inference and Descriptive Statistics
• Tests of Association
• Tests of Difference
• Hypothesis testing

Measures of Variability and Central Tendency
• Describing quantitative data
• Describing qualitative data

Graphics in Data Analysis
• Graphing quantitative data
• Graphing qualitative data
• Advanced graphics options

Correlation
• Correlation of bivariate data
• Subgroup Correlations
• Scatterplots of Data by Subgroups
• Overlay Scatterplots

Module 4: Test statistics and tests of associations
Comparing Means
• One Sample t-tests
• Paired Sample t-tests
• Independent Samples t-tests
• Comparing Means Using One-Way ANOVA
• MANOVA: multivariate analysis of variance
• Repeated Measures ANOVA

Tests of associations
• Goodness of Fit Chi Square All Categories Equal
• Goodness of Fit Chi Square Categories Unequal
• Chi Square for Contingency Tables
• Pearson Correlation
• Spearman Correlation

Nonparametric Statistics
• Mann-Whitney Test
• Wilcoxon’s Matched Pairs Signed-Ranks Test
• Kruskal-Wallis One-Way ANOVA
• Friedman’s Rank Test for k Related Samples

Comparing Means Using Factorial ANOVA
• Factorial ANOVA Using GLM Univariate
• Simple Effects

Module 5:
Comparing Means Using Repeated Measures ANOVA
• Using GLM Repeated Measures to Calculate Repeated Measures ANOVAs
• Multiple Comparisons

Other topics
• Multiple Regression Analysis
• Logistic regression (Binary & Multinomial)
• Cluster Analysis
• Factor analysis

NB: We are offering you a half day, fun and interactive team building event!
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• Click HERE for the individual registration.

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FineResults Research Services invites you to training on:

Topics: Analysis of Complex Sample Survey Data using Stata

Date: 12th to 16th October 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

Enroll :Online training

INTRODUCTION
Standard courses on statistical analysis assume that survey data arise from a simple random sample of the target population. Little attention is given to characteristics often associated with survey data, including missing data, unequal probabilities of selection, stratified multistage sample designs, and measurement errors. Most standard statistical procedures in software packages commonly used for data analysis do not allow the analyst to take these properties of survey data into account unless specialized survey procedures are used. Failure to do so can have an important impact on the results of all types of analyses, ranging from simple descriptive statistics to estimates of parameters of multivariate models. This course provides an introduction to specialized software procedures that have been developed for the analysis of complex sample survey data including testing for between-group differences in means and proportions, regression analysis, logistic regression and multilevel modeling. We will also consider the consequences of non response and missing data on survey analysis and methods for dealing with missing data. Specialized procedures for survey data analysis from the Stata systems for data management and analysis will be used to develop course examples and exercises

LEARNING OBJECTIVES
At the end of the training, participant will understand:
• Descriptive and inferential statistics
• Various data collection techniques and data processing methods e.g. Open data Kit (ODK)
• How to create and manipulate graphs and figures in STATA
• How to use STATA effectively for manipulating and analysing data.

DURATION
5 Days

COURSE OUTLINE
Module 1:
Introduction to Statistics, Data Collection, Processing and STATA
• Introduction to Statistics Concepts
• Data Processing and Management with STATA
• Concepts and Software and technologies for Data Collection and Processing
• Data Processing and Management with STATA

STATA Basics
• Data Structures and Types of Variables
• Data Management using STATA
• Output management and tabulating data with STATA
• Output Management
• Basics of STATA programming
• Tabulating data with STATA

Module 2:
Survey estimation and inference for complex designs
• Complex sample designs, survey estimation and inference
• Multi-stage designs, stratification, cluster sampling, weighting, item missing data, finite population corrections
• Models and assumptions for inference from complex sample survey data
• Sampling distributions, confidence intervals
• Design effects.

Module 3:
Basic STATA Graphics
• Basics of graphing
• Graphing quantitative
• Graphing qualitative data
• Advanced graphing

Statistical Inference
• Tests of Association
• Tests of Difference
• Hypothesis testing

Regression Analysis using STATA
• Linear Regression
• Multiple Regressions
• Binary regression
• Logistic Regression
• GLM Model
• The Problems with regression

Module 4:
Advanced analysis of complex survey data
• Introduction to survey data
• Bayesian Analysis of Complex Sample Survey Data
• Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis
• Fitting Structural Equation Models to Complex Sample Survey Data
• Small Area Estimation and Complex Sample Survey Data
• Nonparametric Methods for Complex Sample Survey Data

Panel data analysis
• Introduction to panel data analysis
• Advanced longitudinal/panel data analysis

Module 5:
Time series Analysis
• Basic elements of time-series analysis
• Managing and summarizing time-series data
• Univariate models
• Introduction to forecasting in STATA

NB: We are offering you a half day, fun and interactive team building event!
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FineResults Research Services invites you to training on:

Topics: Monitoring and Evaluation for Development Results Course

Date: 21st to 02nd October 2020

Cost: USD 1600 or Ksh 120,000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

Enroll :Online training

INTRODUCTION
This course brings learning into practice and enables you to understand the importance of using information and knowledge for evidence-based strategic decision making. M&E for Results is for managers and monitoring and evaluation officers who need to supervise, manage, plan and implement M&E in their projects and programmes. No prior knowledge of M&E is necessary.

DURATION
10 Days

COURSE OBJECTIVES
Through a mix of practical activities, theory and examples of effective practice you will learn how to:
• Decide what and how to monitor with different stakeholders
• Clarify key results at the programme-level using logic models
• Plan a project using the logical framework
• Develop indicators and targets
• Use participatory methods for data collection and analysis
• Combine qualitative and quantitative approaches to gather and interpret data
• Design and manage evaluation
• Use your M&E findings to stimulate learning, improvement and stakeholder buy-in
• Develop and work with a practical M&E system.

COURSE OUTLINE
Module 1
Principles of M&E for Results: The changing role and practice of M&E
• M&E fundamentals
• Results approaches: outputs, outcomes and impact
• Relate M&E to your programme and project cycle
• Identify stakeholders and their differing needs and roles.

Module 2
Results framework
• Develop logic models
• Work with and beyond logframes.

Module 3
Developing M&E frameworks
• Criteria for indicators
• Develop project indicators
• Identify means of verification.

Module 4
Gathering data/information
• Quantitative and qualitative approaches and instruments
• Data organisation, quality assurance and analysis
• Design baseline, evaluation and impact studies

Module 5
M&E system and plan
• Prepare M&E plan
• M&E system

Module 6
Embedding key M&E practices and applying these to a local organisation
• Practice data gathering tools
• Use different tools to gather data in live context
• Field work reflection.

Module 7
Theory of Change
• Develop a theory of change from the live data gathered during fieldwork
• Relate theory of change thinking to M&E.

Module 8
Information for decision-making
• Review monitoring data
• Use M&E information and evidence for decision-making.

Module 9
Fostering a learning culture
• Identify ways to foster a learning culture
• Become m&e change agents and champions
• Coaching and preparation for participant presentations.

Module 10
Using what you have learnt
• Participant presentations
• Embedding learning for personal and organisational benefit
• Becoming change agents for M&E.

NB: We are offering you a half day, fun and interactive team building event!

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FineResults Research Services invites you to training on:

Topics: Result-based Monitoring and Evaluation Training Course

Date: 14th to 18th September 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

Enroll :Online training

INTRODUCTION
This course covers the principles and practices for results based monitoring and evaluation. This course equips participants with skills in setting up and implementing results based monitoring and evaluation systems. The participants will benefit from the latest M&E practices including the results and participatory approaches. This course will bring learning to practice for participants to learn about the results levels and their linkage with indicators and techniques for tracking and assessing the progress of a project with the aim of achieving long term results.

DURATION
5 days

COURSE OBJECTIVES
By the end of this course the participants will be able to:
• Determine the relevant stakeholders involved in monitoring and evaluation of projects
• Clarify key project results levels
• Design a project using logical framework
• Develop indicators and targets for each result level
• Track performance indicators over the life of the project
• Evaluation a project against the set results
• Develop and implement an M&E system
• Develop a comprehensive monitoring and evaluation plan

COURSE OUTLINE
Module 1
Introduction to Results Based Project Management
• Fundamentals of Results Based Management
• Why is RBM important?
• Results based management vs traditional projects management
• RBM Lifecycle (seven phases)
• Areas of focus of RBM

Fundamentals of Monitoring and Evaluation
• Definition of Monitoring and Evaluation
• Why Monitoring and Evaluation is important
• Key principles and concepts in M&E
• M&E in project lifecycle
• Participatory M&E

Design of Results in Monitoring and Evaluation
• Results chain approaches
• M&E causal pathway
• Principles of planning, monitoring and evaluating for results

Module 2
M&E Frameworks
• Conceptual Framework
• Results Framework
• Logic Model
• Logical Framework
• Linking M&E Framework and M&E planning

M&E Indicators
• Indicators definition
• Indicator metrics
• Linking indicators to results
• Indicator matrix
• Tracking of indicators

Logical Framework Approach
• LFA – Analysis and Planning phase
• Design of logframe
• Risk rating in logframe
• Horizontal and vertical logic in logframe
• Using logframe to create schedules: Activity and Budget schedules
• Using logframe as a project management tool


Module 3
Theory of Change
• Overview of theory of change
• Developing theory of change
• Theory of Change vs Log Frame
• Case study: Theory of change

M&E Systems
• What is an M&E System?
• Elements of M&E System
• Steps for developing Results based M&E System

M&E Planning
• Importance of an M&E Plan
• Documenting M&E System in the M&E Plan
• Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
• Using M&E Plan to implement M&E in a Project
• M&E Plan vs M&E Framework vs M&E System

Baseline Survey in Results based M&E
• Importance of baseline studies
• Process of conducting baseline studies
• Baseline study vs evaluation

Module 4
Project Performance Evaluation
• Process and progress evaluations
• Evaluation research design
• Evaluation questions
• Evaluation report Dissemination

Impact Evaluation
• Why impact evaluation is important
• Project attribution
• Counterfactual in IE
• Analysis techniques in IE;DID, PSM

M&E Data Management
• Different sources of M&E data
• Qualitative data collection methods
• Quantitative data collection methods
• Participatory methods of data collection
• Data Quality Assessment

Module 5
M&E Results Use and Dissemination
• Stakeholder’s information needs
• Use of M&E results to improve and strengthen projects
• Use of M&E Lessons learnt and Best Practices
• Organization knowledge champions
• M&E reporting format
• M&E results communication strategies

NB: We are offering you a half day, fun and interactive team building event!

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• Click HERE for the individual registration.

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FineResults Research Services invites you to training on:

Topics: Mobile Data Collection for M&E using ODK and Kobo Toolbox

Date: 20th to 24th July 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

Enroll :Online training

INTRODUCTION
Data collection and monitoring and evaluation (M&E) have always been integral parts of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. Information and communication technology (ICT) tools, including hardware like mobile phones and tablets, applications with the capacity to create digital surveys, and software that allows users to upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E.

DURATION
5 Days.

COURSE OBJECTIVES
The course will introduce participants to tools and techniques to gather data for project/ programme outcomes to stakeholders using innovative Mobile data gathering tools.
At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis and reporting.

TOPICS TO BE COVERED
Module 1: Introduction
Mobile Data gathering
• Benefits of Mobile Applications
• Data and types of Data
• Introduction to common mobile based data collection platforms
• Managing devices
• Challenges of Data Collection
• Data aggregation, storage and dissemination
• Questionnaire Design
Getting started in ODK
• Types of questions
• Data types for each question
• Types of questionnaire or Form logic
• Extended data types geoid, image and multimedia

Module 2: Survey Authoring and Preparation of mobile phone for data collection
Survey Authoring
• Design forms using a web interface using:
o ODK Build
o Koboforms
o PurcForms
• Hands-on Exercise
Preparing the mobile phone for data collection
• Installing applications: ODK Collect
o Using Google play
o Manual install (.apk files)
• Configuring the device (Mobile Phones)
• Uploading the form into the mobile devices
• Hands-on Exercise

Module 3: Designing forms and advanced survey authoring
Designing forms manually: Using XLS Forms
• Introduction to XLS forms syntax
• New data types
• Notes and dates
• Multiple choice Questions
• Multiple Language Support
• Hints and Metadata
• Hands-on Exercise
Advanced survey Authoring
• Conditional Survey Branching
o Required questions
o Constraining responses
o Skip: Asking Relevant questions
o The specify other
• Grouping questions
o Skipping many questions at once (Skipping a section)
• Repeating a set of questions
• Special formatting
• Making dynamic calculations

Module 4: Hosting survey data
Hosting survey data (Online)
• ODK Aggregate
• Formhub
• ona.io
• KoboToolbox
• Uploading forms to the server
Hosting Survey Data (Configuring a local server)
Configuring ODK Aggregate on a local server
Downloading data
• Manual download (ODK Briefcase)
• Using the online server interface

Module 5: Working with Spatial data (GPS Coordinates)
• Spatial Mapping
• Introduction to Fusion Table
• Exporting GPS Coordinates (Google maps) to Fusion tables
• Exporting data to Fusion tables using QGIS
• Converting data to shape files

NB: We are offering you a half day, fun and interactive team building event!

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FineResults Research Services invites you to training on:

Topics: Measuring and Analyzing Gender Equality and Social Inclusion in Project Management

Date: 05th to 09th October 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Whereas gender equality refers to the equal rights, responsibilities and opportunities of women and men and girls and boys, social exclusion is the involuntary exclusion of individuals and groups from society’s political, economic and societal processes, which prevents their full participation in the society in which they live. In project planning, design, implementation, monitoring and evaluation, there is need to identify key indicators that will help in measuring the impact of the project on all targeted individuals and genders. To do this, appropriate tools are necessary, particularly with respect to measuring gender equality and social inclusion. This 5 days course will equip participants with knowledge on the appropriate tools that can be used to measure the extent of social inclusion and impact of project on gender dimensions.
DURATION
5 days
WHO CAN ATTEND?
• Project managers
• Staff managing projects
• Staff in non-government organizations
• Donors
• Government officials,
• CBO operatives, NGO employees,
• anyone involved in project management activities
• Humanitarian organizations,
• Development partners,
• Social Worker
• Community Counsellor
• Researchers
• other institutions focused on gender equality

COURSE OBJECTIVES
At the end of the training participants will be:
• Participants will understand how to capture gender equality and social inclusion indicators
• Learn how is gender quality and social inclusion can be integrated in the project planning and implementation
• Learn how to analyse both qualitative and quantitative data to measure impact of project on gender equality and social inclusion

Module 1
• Definition of gender equality and social inclusion
• Gender and social inclusion indicators
• Understanding the Sustainable Development Goals on gender and Social inclusion indicators
• Gender equality and social inclusion performance indicators:
• Degree of influence of women, very poor people, and socially excluded groups in the project implementation

Module 2
• Progress of women’s involvement in the project
• How is gender equality and social inclusion can be integrated in the projects
• Understanding Gender Equality and Social Inclusion Strategy
• Importance of Gender Equality and Social Inclusion Strategy
• Understand the theory of change that project is underpinned

Module 3
• Mainstreaming Gender Equality and Social inclusion in projects and programmes
• Understanding the quantitative and qualitative indicators on gender equality and social inclusion to measure impact of projects
• Identifying the target of the project
• How to apply the ‘Do No Harm’ Principle
• Monitoring, Evaluation, Accountability and Learning
• Case study

Module 4
• Understanding the Six Domains for Inclusive Development Analysis
• Laws, policies, regulations, and institutional practices regarding men and women
• Cultural norms and beliefs that influence men and women roles
• Access to and control over assets and resources by men and women
• Patterns of power and decision-making
• Personal safety and security
• Data Collection Strategy

Module 5
• Types of data- Quantitative data and qualitative data
• Analysis of qualitative data using Nvivo
• Interpretation of results and report writing

NB: We are offering you a half day, fun and interactive team building event!

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FineResults Research Services invites you to training on:

Topics: Monitoring and Evaluation of Agricultural Programmes

Date: 12th to 16th October 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Agriculture forms the backbone of many developing countries and is the main economic activity for the rural communities. Since its modest beginnings, the agricultural sector has become increasingly complex and multi-faceted. The challenge agriculture faces today is how to feed the world population in an equitable manner while protecting the environment from irreversible negative changes. Monitoring and Evaluation tools and techniques plays a key role in ensuring Agriculture and Rural Development (ARD) projects are designed, implemented as planned to aid in ending hunger and poverty. This course equips the participants with adequate skills to develop and manage robust M&E systems for effective management of ARD projects and programs. The learner is introduced to M&E frameworks indicators, tools and techniques for M&E for ARD.

DURATION
5 Days

COURSE OBJECTIVES
By the end of this course the participants will be able to:
• Understand monitoring and evaluation (M&E) for ARD programs
• Design ARD projects using logical framework analysis approach
• Define different ARD indicators
• Track performance indicators over the life of the project
• Evaluate ARD programs against objectives and targets
• Understand gender role in M&E in ARD programs
• Conduct impact evaluations of ARD programs

COURSE OUTLINE
Module 1
Introduction to M&E
• Definition of Monitoring and Evaluation
• Why Monitoring and Evaluation is important
• Key principles and concepts in M&E
• M&E in project lifecycle
• Complementary roles of Monitoring and Evaluation

Agriculture and Rural Development Policy issues
• Sustainable agriculture and rural development
• Economic contribution of agriculture
• Link between agriculture and rural development
• Agriculture and food security

Module 2
M&E Frameworks in Agriculture and Rural Development
• ARD Conceptual Frameworks
• ARD Results Frameworks
• Logical Framework Analysis (LFA)
• LogFrame - Design of ARD projects using LogFrame

Agriculture and Rural Development Indicators
• Indicator metrics
• Linking indicators to results
• Indicator Matrix
• ARD indicator performance tracking
• Sector-wide indicators for Agriculture and Rural Development
• Specific indicators for Sub-sectors of Agriculture and Rural Development
• Indicators for Thematic Areas related to Agriculture and Rural Development

M&E System and M&E Planning in ARD
• Importance of an M&E Plan
• Documenting M&E System in the M&E Plan
• Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
• Using M&E Plan to implement M&E in a Project

Module 3
Data Management for M&E in Agriculture and Rural Development
• Sources of Data: Information systems, surveys, participatory poverty assessments, financial management tools
• Use of different Surveys in data collection for ARD
• Participatory methods of data collection for ARD
• Data analysis for ARD

Gender integration in M&E for Agriculture and Rural Development
• Gender integration during project activities design
• Gender indicators in ARD
• Cross cutting gender issues in ARD
• Measure of gender outcomes

Module 4
Performance Evaluation of Agricultural and Rural Development programs
• Determining evaluation points from results framework
• Components of evaluations: implementation and process evaluations.
• Evaluation designs- experimental, quasi-experimental and non-experimental
• Performance evaluation process
• Evaluation questions
• Evaluation findings sharing and dissemination

Impact Evaluations for Agriculture and Rural Development
• Introduction to impact evaluation
• Attribution in impact evaluation
• Estimation of counterfactual
• Impact evaluation methods: Double difference, Propensity score matching

Module 5
M&E Results Use and Dissemination
• Use of M&E results to improve and strengthen ARD projects
• Use of M&E Lessons learnt and Best Practices
• Organization knowledge champions
• M&E reporting

NB: We are offering you a half day, fun and interactive team building event!
Be part of the Training
• Click HERE for the individual registration.

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FineResults Research Services invites you to training on:

Topics: Project Management, Monitoring and Evaluation using Ms Project

Date: 21st to 25th September 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Project management helps to effectively deliver quality projects within the cost, time and scope constraints. This course equips the participant with the skills to ensure their projects are completed on time and on budget and according to expectations. The participant will gain a strong working knowledge of project management and be able to immediately use that knowledge to effectively manage projects.

DURATION
5 Days

COURSE OBJECTIVES
By the end of the course you will be able to:
• Initiate a project.
• Develop project schedules
• Develop cost estimates, and budgets.
• Plan project quality, staffing, and communications.
• Analyze project risks.
• Plan and manage project procurement.
• Monitor and control project work.
• Monitor and control project schedule and costs.
• Monitor and control project quality, staffing, and communications.
• Monitor and control project risks and contracts.
• Close a project successfully.

COURSE OUTLINE
Module 1
Fundamentals of project management
• Components of Project Management
• Functions of a Project Manager
• The Art and Science of Project Management
• The Triple Constraints in Project Management
• The project Lifecycle

Project Identification and Design
• Stakeholder Analysis
• Problem Analysis; Problem tree
• Objectives Analysis; Objectives tree
• Strategy Analysis
• Design of Project Intervention Logic using Logical Framework

Project Set Up
• Project Governance Structure
• Project Charter
• Project Launch

Module 2
Project Planning
• Developing Project Management Plan
• Project Plan vs Project Proposal
• Principles of Project Planning

Project Scope Management
• What is Project Scope?
• Project and Product scope
• Use of Work Breakdown Structure in Scope definition
• Scope Creep

Project Time Management
• Activity Definition and Sequencing
• Activity Duration Estimating
• Activity Resource Estimation
• Schedule Development
• Optimizing schedule
• Schedule Control

Project Resources Management
• Why is managing resources important?
• Managing Project Finances; Budgeting, Cost Estimation, Cost baseline, Monitoring Budgets and Expenditures
• Project Earned Value Analysis
• Managing the Supply Chain
• Human Resources Management

Module 3
Project Risk Management
• Examine a Risk Management Plan
• Identify Project Risks and Triggers
• Perform Qualitative Risk Analysis
• Perform Quantitative Risk Analysis
• Develop a Risk Response Plan

Planning Project Procurement
• Plan Project Procurements
• Prepare a Procurement Statement of Work
• Prepare a Procurement Document

Project Implementation
• Identifying the Direct and Manage Project Execution Process
• Managing Issues
• Managing project team
• Manage Stakeholder Relationships and Expectations
• Managing Internal Controls

Module 4
Project Monitoring, Evaluation and Control
• Monitoring and Evaluation activities in Project Lifecycle
• Project M&E Plan
• Project Evaluation Approaches
• Project Control

Project Closure
• End of Project Evaluation
• Administrative, Financial and Contractual Closure
• End of Project Learning
• Stakeholders closure meeting

Module 5
Use of Microsoft Project in Project Management
• Basics of MS Project
• Creating tasks
• Allocating durations to tasks
• Advanced task scheduling
• Creating a resource pool and allocating resources to tasks
• Tracking Project Progress
• Customizing views
• Tracking costs
• Reports views

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FineResults Research Services invites you to training on:

Topics: Monitoring and Evaluation of Water, Sanitation and Hygiene (WASH) Programmes

Date: 07th to 11th September 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
The aim of the evaluation is to generate substantial knowledge and learning on the results of a project or a programme. A good evaluation methodology is key for success of Water, Sanitation and Hygiene (WASH) programmes. Since its modest beginnings, Water, Sanitation and Hygiene (WASH) sector has become increasingly complex and multi-faceted. Monitoring and Evaluation tools and techniques plays a key role in ensuring WASH projects are designed, implemented as planned. This course will equip the participants with adequate skills to develop and manage robust M&E systems for effective management of Water, Sanitation and Hygiene (WASH) projects and programmes. Learners will be introduced to M&E frameworks, indicators as well as tools and techniques.

DURATION
5 Days

COURSE OBJECTIVES
By the end of this course the participants will be able to:
• Understand monitoring and evaluation (M&E) for Water, Sanitation and Hygiene (WASH) Programmes.
• Design Water, Sanitation and Hygiene (WASH) projects using logical framework analysis approach
• Define different Water, Sanitation and Hygiene (WASH) indicators
• Track performance indicators over the life of the project
• Evaluate Water, Sanitation and Hygiene (WASH) programmes against objectives and targets
• Understand the gender role in M&E of Water, Sanitation and Hygiene (WASH)programmes
• Conduct impact evaluations of Water, Sanitation and Hygiene (WASH) programmes

COURSE OUTLINE
Module 1
Introduction to M&E
• Definition of Monitoring and Evaluation
• Why Monitoring and Evaluation is important
• Key principles and concepts in M&E
• M&E in project lifecycle
• Complementary roles of Monitoring and Evaluation

Water, Sanitation and Hygiene (WASH) Policy issues
• Sustainable development
• Economic contribution of Water, Sanitation and Hygiene (WASH) projects/programmes.
• Link between Water, Sanitation and Hygiene (WASH) programmes and county’s development

Module 2
M&E Frameworks in Agriculture and Rural Development
• WASH Conceptual Frameworks
• WASH Results Frameworks
• Logical Framework Analysis (LFA)
• LogFrame - Design of WASH projects using LogFrame

Agriculture and Rural Development Indicators
• Indicator metrics
• Linking indicators to results
• Indicator Matrix
• WASH indicator performance tracking
• Sector-wide indicators for WASH programmes.
• Specific indicators for Sub-sectors of WASH
• Indicators for Thematic Areas related to WASH

M&E System and M&E Planning in WASH
• Importance of an M&E Plan
• Documenting M&E System in the M&E Plan
• Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
• Using M&E Plan to implement M&E in a Project

Module 3
Data Management for M&E in WASH
• Sources of Data: Information systems, surveys, participatory poverty assessments, financial management tools
• Use of different Surveys in data collection for WASH
• Participatory methods of data collection for WASH
• Data analysis for WASH

Gender integration in M&E for Agriculture and Rural Development
• Gender integration during project activities design
• Gender indicators in WASH
• Cross cutting gender issues in WASH
• Measure of gender outcomes

Module 4
Performance Evaluation of Agricultural and Rural Development programs
• Determining evaluation points from results framework
• Components of evaluations: implementation and process evaluations.
• Evaluation designs- experimental, quasi-experimental and non-experimental
• Performance evaluation process
• Evaluation questions
• Evaluation findings sharing and dissemination

Impact Evaluations for Agriculture and Rural Development
• Introduction to impact evaluation
• Attribution in impact evaluation
• Estimation of counterfactual
• Impact evaluation methods: Double difference, Propensity score matching

Module 5
M&E Results Use and Dissemination
• Use of M&E results to improve and strengthen WASH projects
• Use of M&E Lessons learnt and Best Practices
• Organization knowledge champions
• M&E reporting

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FineResults Research Services invites you to training on:

Topics: Monitoring and Evaluation of Food and Nutrition Security Programmes

Date: 19th to 23rd October 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
In order to achieve a world free of hunger and malnutrition, it is vital to provide sustainable solutions that provide the largest impacts on development outcomes. Monitoring and Evaluation tools and techniques plays a key role in ensuring Food Security programs are designed, implemented as plan and that they improve the well-being of the target communities. This course equips the participants with adequate skills to develop and manage robust M&E systems for effective management of FSN programs. The learner is introduced to FSN indicators, tools and techniques for M&E in FSN.

DURATION
5 Days

COURSE OBJECTIVES
By the end of this course the participants will be able to:
• Understand monitoring and evaluation (M&E) of FSN programs
• Design a FSN project using logical framework
• Understand Food Security and Nutrition programs specific indicators
• Track performance indicators over the life of the project
• Evaluate FSN programs against targets
• Understand gender role in M&E in FSN programs
• Conduct impact assessment of Food Security and Nutrition programs

COURSE OUTLINE
Module 1
Introduction to M&E
• Definition of Monitoring and Evaluation
• Why Monitoring and Evaluation is important
• Key principles and concepts in M&E
• M&E in project lifecycle
• Complementary roles of Monitoring and Evaluation

Food Security and Nutrition M&E Frameworks
• Food security and Nutrition Conceptual Frameworks
• Food security and Nutrition Results Frameworks
• Logical Framework Analysis (LFA)
• LogFrame - Design of Food security and nutrition projects using LogFrame

Module 2
Food Security and Nutrition Indicators
• FSN indicators definition: Dietary diversity score, Food Consumption Score, Coping Strategy Index, Nutrition indicators
• Indicator metrics
• Linking indicators to results
• Indicator Matrix
• FSN indicator performance tracking

M&E System design and M&E Planning in FSN
• Importance of an M&E Plan
• Documenting M&E System in the M&E Plan
• Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
• Using M&E Plan to implement M&E in a Project
• M&E plan vs Performance Management Plan (PMP)

Module 3
M&E Considerations for Sector Specific Programming
• Food Security Programs: Food Availability, Seasonality, Food Access, Food Utilization
• Health and Nutrition Programs; Selection of Indicators, sources of data, Reproductive Health
• Integrating Cross Cutting Issues into Data Collection

Data Management for M&E in FSN
• Different sources of M&E data
• Qualitative data collection methods
• Quantitative data collection methods
• Participatory methods of data collection

Module 4
Gender integration in M&E for FSN
• Gender integration during project activities design
• Gender indicators in Food Security and Nutrition programs
• Cross cutting gender issues in FSN
• Measure of gender outcomes

Evaluation of Food Security and Nutrition Programs
• Determining evaluation points from results framework
• Components of evaluations: implementation and process evaluations.
• Evaluation designs- experimental, quasi-experimental and non-experimental
• Performance evaluation process
• Evaluation findings sharing and dissemination

Impact Assessment of Food Security and Nutrition Programs
• Introduction to impact evaluation
• Attribution in impact evaluation
• Estimation of counterfactual
• Impact evaluation methods: Double difference, Propensity score matching

Module 5
M&E Results Use and Dissemination
• Use of M&E results to improve and strengthen FSN projects
• Use of M&E Lessons learnt and Best Practices
• Organization knowledge champions
• M&E reporting

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FineResults Research Services invites you to training on:

Topics: Data collection, Analysis and Visualization Using ODK, Stata and Quantum GIS in Monitoring and Evaluation

Date: 19th to 30th October 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
A logical framework is an important part of monitoring and evaluating the progress and success of the project. The Logical framework provides various components of a project such as goal, objectives, activities, results and indicators. Indicators are linked to data anticipated to be collected during monitoring and evaluation of projects. Indicators provide a standard against which to measure impact brought about by project activities. Open Data Kit (ODK) helps to collect accurate and timely data for decision making. Whereas, Stata support data analysis, Quantum GIS helps in visualization of spatial data collected using ODK.

DURATION
10 days

COURSE OBJECTIVES
• Learn how to develop a logical framework
• Understand and appropriately use statistical terms and concepts
• Use mobile data gathering tools such as Open Data Kit (ODK)
• Learn how to conduct data analysis using stata
• Use GIS software to visualize data on maps
• Write reports from survey data

WHO SHOULD ATTEND?
• Government representatives working in Monitoring and evaluation
• project teams, NGOs staffs,
• Consultants
• project managers
• M&E specialists
• Researchers.

COURSE CONTENT
Module 1
• Data types- Qualitative and quantitative data
• Research designs in qualitative data and quantitative data collection and analysis
• Developing a logical framework
• Components of a logical framework
• Mobile data collection in Monitoring and Evaluation
• Introduction to common mobile based data collection platforms
• Data aggregation, storage, and dissemination

Module 2
Survey Planning, Implementation and Completion
• Types of surveys
• The survey process
• Survey design
• Methods of survey sampling
• Determining the Sample size
• Planning a survey
• Conducting the survey
• After the survey
Software for Data Processing, management and GIS mapping
• Data collections methods (Web, SMS, Mobile, Email, Social Media)
• Use of ODK 2 for Mobile Data Collection
• Importing ODK data into SPSS and Excel
• Exercise: ODK exercise.

Module 3
• Overview of available mobile phone based data collection platforms.
• Types of questions and their data types.
• Questionnaire/Form logic
• Extended data types geoid, image, and multimedia
• Survey Authoring
• Design forms using a web interfaces using:
• Hands-on Exercise
• ODK Build
• KoboToolBox
• Preparing mobile devices for data collection
• Installing application: ODK Collect
• Configuring the device (Mobile Phones)
• Uploading the form into the mobile devices

Module 4
• Advanced survey Authoring: XLSForms
• Introduction to XLSforms syntax
• New data types
• Notes and dates
• Multiple choice Questions
• Multiple Language Support
• Hints and Metadata
• Conditional Survey Branching
• Required questions
• Constraining responses
• Skip: Asking Relevant Questions
• The specify other
• Grouping questions
• Skipping many questions at once (Skipping a section)
• Repeating a set of questions
• Special formatting
• Making dynamic calculations

Module 5
• Hosting survey data: Cloud Hosting
• Google Apps Engine
• ODK Aggregate
• KoboToolbox
• Formhub
• Hosting Survey Data: Local Server Hosting
• Configuring ODK Aggregate on a local server
• Downloading data
• Manual download (ODK Briefcase)
• Using the online server interface
Module 6
• Downloading data from server and exporting to Stata
• Introduction to statistical concepts
• Descriptive Statistics
• Inferential statistics
• Types of research designs
• The research process

Module 7
Introduction to Data management and analysis using Stata
• Overview of Stata Software
• Import, Export, load and save datasets
• Sorting and ordering
• Appending, merging and reorganizing datasets
• Identify duplicate observations
• Statistical Inference
• Correlation
• Simple linear Regression and Multiple linear Regression
• Comparing Means Using t-tests
ü One Sample t-tests
ü Paired Sample t-tests
ü Independent Samples t-tests
Comparing Means Using One-Way ANOVA
• One-Way Anova
• General Linear Model to Calculate One-Way ANOVAs
• Exercises
Chi-Square
• Goodness of Fit Chi Square All Categories Equal
• Goodness of Fit Chi Square Categories Unequal
• Chi-Square for Contingency Tables
• Exercises
Nonparametric Statistics
• Mann-Whitney Test
• Wilcoxon’s Matched Pairs Signed-Ranks Test
• Kruskal-Wallis One-Way ANOVA
• Friedman’s Rank Test for k Related Samples
• Exercises

Module 8
• Introduction to GIS
• Working with Spatial data (GPS Coordinates)
• Spatial Mapping
• Introduction to Fusion Table
• Exporting GPS Coordinates (Google maps) to Fusion tables
• Exporting data to Fusion tables using QGIS
• Converting data to shape files
• Integrating Mobile Data Collection tools into projects

Module 9
GIS mapping of survey data using QGIS
• Introduction to GIS for Researchers and data scientists
• Importing survey data into a GIS
• Mapping of survey data using QGIS
• Exercise: QGIS mapping exercise.

Module 10
Report writing for surveys, data dissemination, demand and use
• Writing a report from survey data
• Communication and dissemination strategy
• Context of Decision Making
• Improving data use in decision making
• Culture Change and Change Management

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FineResults Research Services invites you to training on:

Topics: Gender Based Violence in Project Management

Date: 16th to 20th November 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
With the aim of attaining the Sustainable Goal 5 on gender equality and empower all women and girls and in particular target 1 and 2 to end all forms of discrimination against all women and girls everywhere and eliminate all forms of violence against all women and girls in the public and private spheres, there is need for organizations and institutions involved in implementing projects to ensure that the projects are socially inclusive and all genders are protected against sexual and gender based violence. This 5 days course will equip participants with knowledge on how to increase social inclusion and discover gender based violence in the organizations and institutions.
DURATION
5 days
COURSE OBJECTIVES
• Learn how to develop a logical framework
• Understand and appropriately use statistical terms and concepts
• Use mobile data gathering tools such as Open Data Kit (ODK)
• Learn how to conduct data analysis using stata
• Use GIS software to visualize data on maps
• Write reports from survey data

WHO CAN ATTEND?
• Project managers
• Staff managing projects
• Staff in non-government organizations
• Donors
• government officials,
• CBO operatives, NGO employees,
• Anyone involved in project management activities
• humanitarian organizations,
• Development partners,
• Social Worker
• Community Counsellor
• Researchers
• Other institutions focused on gender equality

COURSE OBJECTIVES
At the end of the training participants will be:
• Understand the meaning of Sexual and Gender Based Violence (SGBV)
• Learn different forms of SGBV
• Understand how to prevent SGBV
• Understand how to respond to SGBV
• Learn various reporting mechanisms, and how to develop a programmatic response for SGBV.

COURSE OUTLINE
Module 1: Introduction to Gender-Based Violence
• Defining Sexual and Gender-Based Violence its Forms and Consequences
• Causes and Contributing Factors of GBV
• Types of SGBV
• Human Rights
Preventing Gender-Based Violence
• Outlining Prevention Interventions
• Reducing Risks and Vulnerabilities
• Designing Prevention Interventions
• Ending Impunity
Module 2: Responding to Gender-Based Violence
• Survivor-centred Response
• Survivor-centred Health Care
• Psychosocial and Mental Health
Module 3: GBV and Law
• Sexual Offences Act (Country specific)
• Domestic Violence Act (Country specific)
• Child Rights Act (Country Specific)
• The pathway to formal justice
Module 4: Action against Sexual and Gender-Based Violence
• Multisectoral Action
• Interagency, Multisectoral Coordination
• Existing national and institutional action to combat gender-based violence
• Gender-based Violence Assistance Organisations
Module 5: Monitoring and Evaluation in Gender-Based Violence Interventions
• Design of SMART GBV project results
• GBV indicators
• Stakeholders engagement in GBV projects
• Evaluation of GBV projects

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FineResults Research Services invites you to training on:

Topics: Microsoft Excel Dynamic Dashboards for Management Reporting

Date: 17th to 21st August 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Microsoft Excel Dashboards are reporting mechanisms that can deliver Business Intelligence (BI) in graphical form. Dashboards take raw data; allow it to be analyzed and presented in a form that is of most benefit to the end user.
The idea of information dashboards is to have the most important information such as KPIs presented within a single page that allows people to understand what is going on and make decisions.

DURATION
5 Days

WHO SHOULD ATTEND?
Accountants, senior and junior accountants, business analysts, accounting and finance professionals, research professionals, marketing and sales, administrative staff, supervisors, general business professionals and staff from any function who need to learn and apply state-of-the-art techniques to their daily business reporting, reconciliations, and analysis.

COURSE OBJECTIVES
At the end of this training course, participants will be able to:
• Differentiate between Reports and dashboards
• Discuss the benefits of an Excel dashboard
• Assemble all data needed for a dashboard
• Identify ground rules for creating effective dashboards
• Show how to enable the Developer tab in Excel
• Understand the Data Model
• Create dynamic charts
• Create Pivot tables
• Create Pivot Charts
• Modify Pivot tables and charts
• Apply conditional formatting to a dashboard
• Identify and apply Excel functions (IF, CHOOSE and VLOOKUP)
• Design and build a dashboard from raw data to the finished product

TOPICS TO BE COVERED
Module 1: Introduction
Understanding Management Dashboards
• What is a Dashboard?
• Principles of Great Dashboard Design
• Dashboard Do’s and Don’t’s

Working with your Data
• Understanding Data Quality issues
• Gathering data from different sources
• Linking Data
• Merging and Consolidating Data
• Excel Hints and Tips when working with data

Module 2: Using Advanced Formulas & Functions in Excel 2010/2013
• Referencing & Ranges
• Advanced Lookup
• Advanced Formatting

Analysing Data with Advanced Pivot Table Techniques in Excel 2010
• Percentage
• Computed Columns
• Grouping & Sorting
• Top Views
• Multiple data sources
• Using the dashboards with Excel Pivot Tables
• Pivot Charts & Visual Dashboarding Techniques
• Using external data sources such as The Web

Module 3: Advanced Power Charting Techniques
• Thermometer Chart
• Doughnut Chart
• Pareto chart
• Using Shapes to make Charts more attractive
• Using Alerts to draw attention to dashboards

Creating Dynamic Dashboards with Excel 2010 / Excel 2013 for Management Reporting
• Complete Management Dashboard for project KPIs
• Complete Management Dashboard for Sales & Services
• Best Practices in Dashboard Design
• Versatile management dashboards
• Dashboards Publishing Excel Dashboards to the Web

Module 4: Dashboard Macros
• Simple & Complex Macros
• Dynamic Dashboards using Macros

Module 5: Building Your Own Dashboard
• This last session will be used to build some relevant Dashboards. Delegates are encouraged to bring examples of the dashboarding they would like to create during the training.


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FineResults Research Services invites you to training on:

Topics: Mobile Phone Based Data Collection for Monitoring and Evaluation

Date: 13th to 17th July 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Data collection and monitoring and evaluation (M&E) have always been integral parts of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs.
Information and communication technology (ICT) tools, including hardware like mobile phones and tablets, applications with the capacity to create digital surveys, and software that allows users to upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E.

DURATION
5 Days.

COURSE OBJECTIVES
The course will introduce participants to tools and techniques to gather data for project/ programme outcomes to stakeholders using innovative Mobile data gathering tools.
At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis and reporting.

TOPICS TO BE COVERED
Module 1: Introduction
Mobile Data gathering
• Benefits of Mobile Applications
• Data and types of Data
• Introduction to common mobile based data collection platforms
• Managing devices
• Challenges of Data Collection
• Data aggregation, storage and dissemination
• Questionnaire Design
Getting started in ODK
• Types of questions
• Data types for each question
• Types of questionnaire or Form logic
• Extended data types geoid, image and multimedia

Module 2: Survey Authoring and Preparation of mobile phone for data collection
Survey Authoring
• Design forms using a web interface using:
o ODK Build
o Koboforms
o PurcForms
• Hands-on Exercise
Preparing the mobile phone for data collection
• Installing applications: ODK Collect
o Using Google play
o Manual install (.apk files)
• Configuring the device (Mobile Phones)
• Uploading the form into the mobile devices
• Hands-on Exercise

Module 3: Designing forms and advanced survey authoring
Designing forms manually: Using XLS Forms
• Introduction to XLS forms syntax
• New data types
• Notes and dates
• Multiple choice Questions
• Multiple Language Support
• Hints and Metadata
• Hands-on Exercise
Advanced survey Authoring
• Conditional Survey Branching
o Required questions
o Constraining responses
o Skip: Asking Relevant questions
o The specify other
• Grouping questions
o Skipping many questions at once (Skipping a section)
• Repeating a set of questions
• Special formatting
• Making dynamic calculations

Module 4: Hosting survey data
Hosting survey data (Online)
• ODK Aggregate
• Formhub
• ona.io
• KoboToolbox
• Uploading forms to the server
Hosting Survey Data (Configuring a local server)
Configuring ODK Aggregate on a local server
Downloading data
• Manual download (ODK Briefcase)
• Using the online server interface

Module 5: Working with Spatial data (GPS Coordinates)
• Spatial Mapping
• Introduction to Fusion Table
• Exporting GPS Coordinates (Google maps) to Fusion tables
• Exporting data to Fusion tables using QGIS
• Converting data to shape files

NB: We are offering you a half day, fun and interactive team building event!
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FineResults Research Services invites you to training on:

Topics: Microsoft Excel Skills for Business Accounting and Analysis

Date: 12th to 16th October 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Microsoft Excel has powerful business analysis capabilities and dynamic reporting features that provide managers and business owners with the information and insights instantly. This course is will equip the participants with skills for retrieving data from Excel, analyzing the data, making budgets, P&L, sales reports and other business report (statutory or otherwise). Participants will also be trained on how to make dynamic dashboards that can be used to display the information using interactive charts and reports. Participants will also be equipped with necessary skills in interpreting various Microsoft Excel reports/outputs in key business decision-making and planning. Effort will be made to illustrate how to make use of Microsoft Excel data analysis functions and the program analysis toolbar.

DURATION
5 days

COURSE OBJECTIVES
By the end of this course, participants will be able to know:
• Gain enhanced spreadsheets data skills: creating templates, charts, graphics and formulas for business and operational work.
• How to calculate with advanced functions & formulas, create interactive charts using Excel
• How to analyze data using Pivot Charts. insert graphic objects and quickly transform business data into informative reports using PivotTables
• How to use business dashboards to compare multiple business elements in one screen
• How to generate management and weekly reports quickly and accurately
• How to use Microsoft Excel analysis toolpak.

COURSE OUTLINE
Module 1:
Introduction to Microsoft Excel
• Introduction, Outline & Objectives
• Functions and Formulae
• Entering and Copying Formulae
• Creating Formulas using Names
• Managing Names using, Name Manager
• Searching for Functions
• Naming Ranges
• Creating Named Ranges
• Using Names in Movement
• Inserting Names in Formulae
• Formatting
• Number Formatting
• Cell Styles
• Copying and Clearing formatting

Module 2:
Calculating with Formulas and Functions
• Use Date and Time Functions
• Use Statistical Functions
• Use Database Functions
• Use Lookup Functions
• Use Logical Functions

Module 3:
Visualizing Data with Charts
• Use Recommended Charts Tool
• Create Chart with Quick Analysis
• Align Chart Axis Labels
• Display Value Axis in Millions
• Create Chart with Multi Line Labels
• Create Combo Chart
• Create Chart Template for Sharing
• Build Dynamic Chart with Table

Module 4:
Analyzing Data with Tables and Importing External Data Sources
Tables
• Create Table with Quick Analysis
• Remove Duplicate Records
• Add Total Row to Table
• Insert Calculated Columns
• Filter Table Data with Custom Filter
• Use Slicer to Filter Data
• Apply Conditional Formatting
• Sort and Filter Data by Color
• Create In-Cell Chart with Sparklines

PivotTables
• Overview of PivotTable & PivotChart
• Create PivotTable from Table
• Change Report Layouts
• Show and Hide Report Totals
• Create Custom Calculations
• Filter Pivot Data with Slicer and Timeline
• Group Fields in a PivotTable
• Create Calculated Fields in PivotTable

Importing External Data Sources
• Import Data from Text Files
• Create PivotTable from Microsoft Access
• Create PivotChart from Microsoft Access
• Manage Data Connections

Module 5:
Creating Dashboard Report
• Overview of Dashboard
• Create PivotTable and PivotChart
• Hide Field Buttons from PivotChart
• Use Slicer to Connect PivotTables
• Build a Slicer Dashboard Report

Other Tips and Tools
• Flash Fill
• Quick Analysis
• Slicer to Filter Excel Table
• Timeline to Filter PivotTable
• Connecting Multiple PivotTables
• Sparklines

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FineResults Research Services invites you to training on:

Topics: Advanced Microsoft Excel Training

Date: 10th to 14th August 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Excel has powerful tools that enable busy users to set up systems that simplify data analysis and interpretation. Effectively using Excel allows users to devote their time more profitably to making decisions about and acting on results, with more effective outcomes. This course gives practical experience in the use of Microsoft Excel for data summary, presentation and for other basic statistical work. It concentrates on areas where Excel really can excel, such as array functions. We look at data entry and management, pivot tables, and graphics. We also review Excel's facilities for statistical analysis, advising on their use and limitations, and we show how add-ins can be used to enhance Excel's capabilities. Participants will learn through a series of practical simulations which ensures that they maximize their learning and can use the tools immediately when they return to the office. In addition to the practical component, all participants will also receive a manual describing all the techniques learned.

Duration
5 days

COURSE OUTLINE
Module 1
• Introduction to Excel FORMATING
• Adjusting Numeric Formats
• Controlling Fonts, Borders and Cell Color
• Alignment Tools & Other formatting Tools
• Row, Column and Sheet Adjustment & Adding Picture
• Excel Formula Basics

Module 2
• Introduction to Pivot Table
• Creating Pivoting Tables
• Summarizing PivotTable Data
• Sorting and Filtering Pivot Table
• Formatting PivotTable
• Applying Conditional Formatting
• Printing Pivot Tables and Pivot Charts
• The “if” Function

Module 3
• Printing Pivoting Tables
• Using Date and Time Functions
• Look Up functions
• Data Validation
• Data Validation Exercises
• Linking Sheets

Module 4
• Creating Forms
• Introducing Macros
• Sorting and Filtering data
• Formatting Dashboards
• Macros continued
• Macros - Advanced

Module 5
• Introduction to VBA
• Basics of VBA Programming
• VBA Conditional Statements
• VBA Loops Statements
• VBA Message Box and input
• VBA Miscellaneous & Macros

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FineResults Research Services invites you to training on:

Topics: Collection and management of Research data using ODK and Kobo Toolbox

Date: 20th to 24th July 2020.

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Data collection and monitoring and evaluation (M&E) have always been integral parts of development work. In the past, these tasks were performed with paper and pen, which made them prone to error, difficult to conduct on a large scale, and high in transaction costs. Information and communication technology (ICT) tools, including hardware like mobile phones and tablets, applications with the capacity to create digital surveys, and software that allows users to upload data to storage facilities in real-time, have reduced the conventional challenges associated with remote data collection and M&E.

DURATION
5 Days.

COURSE OBJECTIVES
The course will introduce participants to tools and techniques to gather data for project/ programmes outcomes to stakeholders using innovative Mobile data gathering tools.
At the end of the course, you will become familiar with using ICT tools and methods to conduct data collection, statistical analysis and reporting.

TOPICS TO BE COVERED
Module 1: Introduction
Mobile Data gathering
• Benefits of Mobile Applications
• Data and types of Data
• Introduction to common mobile based data collection platforms
• Managing devices
• Challenges of Data Collection
• Data aggregation, storage and dissemination
• Questionnaire Design
Getting started in ODK
• Types of questions
• Data types for each question
• Types of questionnaire or Form logic
• Extended data types geoid, image and multimedia

Module 2: Survey Authoring and Preparation of mobile phone for data collection
Survey Authoring
• Design forms using a web interface using:
o ODK Build
o Koboforms
o PurcForms
• Hands-on Exercise
Preparing the mobile phone for data collection
• Installing applications: ODK Collect
o Using Google play
o Manual install (.apk files)
• Configuring the device (Mobile Phones)
• Uploading the form into the mobile devices
• Hands-on Exercise

Module 3: Designing forms and advanced survey authoring
Designing forms manually: Using XLS Forms
• Introduction to XLS forms syntax
• New data types
• Notes and dates
• Multiple choice Questions
• Multiple Language Support
• Hints and Metadata
• Hands-on Exercise
Advanced survey Authoring
• Conditional Survey Branching
o Required questions
o Constraining responses
o Skip: Asking Relevant questions
o The specify other
• Grouping questions
o Skipping many questions at once (Skipping a section)
• Repeating a set of questions
• Special formatting
• Making dynamic calculations

Module 4: Hosting survey data
Hosting survey data (Online)
• ODK Aggregate
• Formhub
• ona.io
• KoboToolbox
• Uploading forms to the server

Hosting Survey Data (Configuring a local server)

Configuring ODK Aggregate on a local server

Downloading data
• Manual download (ODK Briefcase)
• Using the online server interface

Module 5: Working with Spatial data (GPS Coordinates)
• Spatial Mapping
• Introduction to Fusion Table
• Exporting GPS Coordinates (Google maps) to Fusion tables
• Exporting data to Fusion tables using QGIS
• Converting data to shape files

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FineResults Research Services invites you to training on:

Topics: Nutrition Assessment in Emergencies Training Course

Date: 12th to 16th October 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
A nutrition assessment is an in-depth evaluation of both objective and subjective data related to an individual's food and nutrient intake, lifestyle, and medical history. Once the data on an individual is collected and organized, the practitioner can assess and evaluate the nutritional status of that person. This course covers basic concepts around the humanitarian system and reform, under nutrition and response in emergencies, individual assessment and micronutrients.
DURATION
5 Days
COURSE OBJECTIVES
By the end of this training, participants will have indepth knowledge on:
• International Humanitarian System and Reform
• Basic concepts in Nutrition in Emergencies
• Measuring undernutrition in individuals
• Micronutrients
• Infant Feeding in Emergencies

COURSE OUTLINE
Module 1:
International Humanitarian System and Reform
• Humanitarian coordination
• Humanitarian reform, financing and the cluster approach
• Humanitarian actors and roles
• Overview of UNICEF History
• UNICEF Core Commitments for Children (CCCs)
• Standards and accountability

Module 2:
Basic concepts in Nutrition in Emergencies
• Why care about nutrition?
• Nutrition basics
• Types of undernutrition: growth failure
• Types of undernutrition: micronutrient deficiencies
• Causes and most vulnerable to undernutrition
• Response to nutrition in emergencies
• Nutrition interventions

Module 3:
Measuring undernutrition in individuals
• Anthropometry and its use
• Measuring length and height
• Measuring weight
• Measuring Mid-Upper Arm Circumference (MUAC)
• Nutritional indices and reference standards
• Reference Standards
• Measuring infants, adults and adolescents

Module 4:
Micronutrients
• Review of micronutrients
• UNICEF CCCs on Micronutrients
• Assessing micronutrient deficiencies in emergencies
• Calculating nutrient content of rations
• Preventing micronutrient deficiencies
• Policies and guidelines on Micronutrients

Module 5:
Infant Feeding in Emergencies
• Why IFE Matters
• Infant feeding in the context of HIV
• Key global initiatives on IFE
• Common concerns about breastfeeding
• Basic interventions
• The importance of complementary feeding
• Policy, coordination, training and communication
• Technical interventions on IFE
• Preventing and handling donations in emergencies
• Handling milk and milk products in emergencies

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FineResults Research Services invites you to training on:

Topics: Post-Disaster Economic Recovery and Sustainable Livelihood Restoration

Date: 30th to 4th December 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
This training aims to enhance the capacities of humanitarian workers and practitioners in designing, implementing and evaluating Sustainable Livelihoods and Economic Recovery programmes based on disaster risk reduction and Sustainable Development principles. There is a growing recognition of the need to implement sustainable development activities after disaster and emergencies as part of economic recovery programs. This course provides the techniques and means to do so which are often not known to those responsible for post-disaster recovery. The training intends to bridge this gap by building the capacities of practitioners in the design and implementation of post-disaster economic recovery programs/interventions that integrate Sustainable Development Goals and Disaster Risk Reduction. It will improve their understanding of livelihood diversification, skills training, etc. and also provide them with tools which can facilitate decision making related to economic recovery that result in sustainable livelihoods and economies by:
• Enhancing the resilience of communities to future climatic change events;
• Creating a stronger infrastructure;
• Strengthening institutions against the eventualities of climate change; and
• Enabling sustainable recovery.
Participants of the training will contribute to building capacities of respective communities in recovering effectively from disasters and building resilience of affected communities in the long-term.

DURATION
5 days.

COURSE OBJECTIVES
To introduce participants to the need of reducing future humanitarian interventions including reducing the scale and embark on development to attain development goals
Towards this end, the training will discuss the following:
• Models of Economic Recovery;
• The design and conduct of Post-Disaster Impact Assessments;
• Different Livelihoods Interventions capable of addressing assessment outcomes;
• Tools and Mechanisms for Resource Mobilization to support recovery programming; and
• Data Collection, Tools, and Indicators for Monitoring and Evaluation.

COURSE OUTLINE
Module1:
Understanding Disaster, Economic Recovery and Sustainable Livelihood Restoration
• The concept of disaster, elements at risk, disaster risk reduction, sustainable development
• Core principles of disaster, disaster risk reduction, sustainable development
• Basic concepts: Disaster and disaster risk management
• Linkages between Early Recovery, Vulnerability Reduction and Disaster Risk Reduction

Module 2:
Early Recovery
• Assessing the economic impacts of a disaster
• Small business assistance and industry recovery (health)
• Emergency employment, cash for work and start-up grants to recapitalize local businesses;
• Debris management, access and rebuilding infrastructure;
• Local governance support, strengthening local government capacity for relief and recovery planning
• Coordination and implementation, improving the capacity for local risk management.

Module 3:
Development of recovery networks
• Infrastructure and building back better communities
• community recovery committees and training
• Individual, community and organizational preparedness
• Community-Based Preparedness Committee

Module 4:
Tools for designing Sustainable Development strategies and roadmaps
• Needs assessments and costing
• Monitoring Development: setting indicators
• Goal-based partnerships
• Strategic planning for disaster recovery
• Course Tasks:

Module 5:
Resilience building
• Economic diversification
• Economic Resilience
• Proactive disaster risk management
• Neighborhood revitalization

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FineResults Research Services invites you to training on:

Topics: Flood Disaster Risk Management in Changing Climate

Date: 21st to 25th September 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Floods are a global challenges facing many countries and result in the loss of lives and damage to properties hindering development. Global warming and urbanization are increasing the prevalence of floods. Thus, many nations are focusing on strategies to combat floods. This necessitates different strategies for reduction of disaster risks to ensure sustainable development. This course is beneficial too professional working in the management of flood disasters including decision makers, developing and planning officials, professionals in the housing, public works, and water resources sectors, governmental officials, and NGOs committed to disaster management. The course accommodates participants from all nations.

DURATION
5 Days

COURSE OBJECTIVES
By the end of this course the participants will be able to:
• Explain flood risks in relation to the current changing climate
• Identify the degree of flood risks and vulnerability and establish strategies to eradicate the vulnerabilities
• Develop approaches for management of flood risks in the current changing climate
• Apply mitigation measures for flood risk
• Develop flood recovery programs
• Identify the solutions to flood risk challenges

COURSE OUTLINE
Module 1
Introduction
• Define the terms in disaster risk management
• Formation and predictability of hydro-meteorological risks
• Occurrence of natural disasters
• Flood disaster

Flood Risk and Climate Change
• Global warming and climate change
• Strategies for climate change
• Adapting to climate change

Module 2
Assessment of Flood Risk
• Flood assessment principles
• Flood vulnerability processes
• Process of flood risk evaluation
• Process of community-based flood risk evaluation

Module 3
Mitigation of Flood Risk
• Management plan for mitigation of flood
• Flood management plan tools
• Smart strategies for Climate change
• Flood-proofing in a multifaceted surrounding
• Water shed management
• Rural and urban planning to reduce flood risks
• Public awareness on flood risks

Module 4
Preparation and Response to Flood Disaster
• Framework for flood disaster preparation
• Process of flood contingency planning
• Predicting early flood warning signs
• Management of emergency floods
• Process of flood evacuation
• Search and rescue during flood disaster

Planning and Implementation for Flood Recovery
• Planning and implementation
• Damages and need assessment
• Programs of sustainable recovery

Module 5
Crosscutting Issues
• Flood risk management economics
• Flood risk reduction financial tools
• Trans-boundary, governance and gender issues

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FineResults Research Services invites you to training on:

Topics: Emergency Planning and Management Training Course

Date: 16th to 20th November 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Thorough understanding of the issues that underlie many of the day-to-day problems faced by practitioners in the field of emergency planning and management is very important in these times where emergencies of various kinds are so common. These risks are high and hence increased levels of preparedness and more effective responses to realized risks are thus necessary. Time matters in a crisis besides thorough planning, clear communication and effective strategies save lives and limit disruption. This understanding, including how such issues may be addressed in practice, is necessary in order to increase the level of resilience of individual organizations, as well as the effectiveness of the integrated emergency management of disruptive challenges to the world economies/ societies. This course blends academic study with experiential learning of best practice to teach you about disaster preparedness and response and creates professionals who are ready for action. This course offers training in the fundamentals of the emergency planning process, including the rationale behind planning. It will develop your capability for effective participation in the all-hazard emergency operations planning process to save lives and protect property threatened by disaster. You will have the opportunity to interact with our experienced facilitators who bring professional and research expertise into their teaching.

DURATION
5 days.

COURSE OBJECTIVES
Upon completion of the course, participants will:
• Gain knowledge required to pursue a career or work on emergency planning and management.
• Will examine theory and practice in a range of countries, benchmarking approaches in their respective countries of origin/work and generally build relevant experience in the industry.
• Develop their skills that are needed to manage the response to various emergencies (i.e. Civil, technological incidents, transport accidents and natural disasters among others)
• Develop an early warning system and risk management plan tailored to the needs of their organization;
• Examine the kinds of tools and products that are available or could be developed to integrate information into forms most useful for them to make decisions at various levels; and
• Set-up appropriate contingency plan or options to guide members of their organization against various hazards of different timescales.

COURSE OUTLINE
• Disaster theory and practice
• Definitions and concepts
• The four core early warning system components
• End-to-End Early Warning System (EWS)
o New Hazard Paradigm
o End-to-End EWS Framework and its Elements
• Risk assessment
o Hazard Identification Process
o Risk Analysis: Probabilities and Consequences
o Risk Management: Options
o Hazard Forecast Based Risk Estimation Analysis
o Development of Decision Support Tools
• Risk Communication
o Risk Communication Process and Tools
o Contingency Plans
o Organizational Preparedness and Response Preparation
• Emergency and Disaster planning;
• Integrated emergency management practice and issues;
• Business continuity management;
• The management of natural and environmental disasters;
• GIS & RS, science and services;

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FineResults Research Services invites you to training on:

Topics: Early Warning Systems Training Course

Date: 07th to 11th September 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
An early warning system (EWS) is technology and associated policies and procedures designed to predict and mitigate the harm of natural and human-initiated disasters and other undesirable events. Early warning systems for natural hazards include those designed for floods, earthquakes, avalanches, tsunamis, tornadoes, landslides and drought. Other systems exist for a variety of events including missile launches, road conditions and disease outbreaks. Early warning systems are means by which people receive relevant and timely information in a systematic way prior to a disaster in order to make informed decisions and take action.

DURATION
5 days.

COURSE OBJECTIVES
Upon completion of the course, participants will:
• Understand operational mechanisms and procedures for the prediction, forecasting, monitoring and response to the warning
• Examine the kinds of tools and products that are available or could be developed to integrate information into forms most useful for them to make decisions at various levels and set-up appropriate contingency plan or options to guide members of their organization against various hazards of different timescales.
• Design end-to-end early warning systems for several types of hazards including, action planning for disaster preparedness, emergency management and social response with respect to the early warning;
• Develop tools for early warning audits, identify current gaps in existing early warning systems and put in place enhanced people-centered early warning system
• Harmonization of the early warning system and disaster mitigation for effective disaster risk reduction
• Undertake risk assessment and design of multi-hazard end-to-end early warning systems for disaster risk reduction
• Develop strategies to institutionalize early warning systems into the process cycle of disaster risk reduction and development planning, emergency response, and preparedness activities
• Interpret and translate scientific information products into user-friendly formats and prepare & communicate tailor-made early warning information products to elicit a response from the at-risk communities
• Design and implement community-based early warning systems that are people centered and that can effectively contribute to the risk management process/risk reduction
• Evaluate and introduce public education and training programme for the community based early warning systems
• Apply emerging new generation climate prediction technologies for anticipating and managing disaster risks associated with climate change & variability

TOPICS TO BE COVERED
Module 1
Introduction to End-to-End Early Warning System
• Overview of Basic Terminology & Concepts in DRM
• Overview of Hazards and possibility of EWS
• End-to-End EWS Framework and its Elements
• Institutional mechanism/ framework for EWS

Module 1
Hazard Detection, Monitoring, Forecasting & Information for Warning (HDMFW)
• Hazard Identification Process
• Risk Analysis: Probabilities and Consequences
• Risk Management: Options Analysis
• Detection, Monitoring, Forecasting & Information for Warning-Drought
• Detection, Monitoring, Forecasting & Information for Warning-Flood/Flash Flood
• Detection, Monitoring, Forecasting & Information for - Warning-Volcanoes, Earthquake and Tsunami

Module 3
Application of Risk Assessment & Risk Communication for Early Warning
• Use of Multi-Hazard Risk Assessment and Risk Maps for Early Warning
• Risk Communication Process and Tools
• Contingency Plans
• Organizational Preparedness and Response Preparation
• GIS and RS in Early Warning Systems

Module 4
Standard Operating Procedures (SOPs) for Early Warning Systems
• Table-Top Exercise & SOP Development
• Community-level focus
• Good practice and lessons learned across the globe

Module 5
Monitoring and Evaluation of EWS
• Monitoring the performance of EWS through quantifiable indicators and tools
• Post Training work plan
• Course Evaluation


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FineResults Research Services invites you to training on:

Topics: Contingency Planning Training Course

Date: 27th to 31st July 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.
INTRODUCTION
Contingency planning aims to prepare an organization to respond well to an emergency and its potential humanitarian impact. Developing a contingency plan involves making decisions in advance about the management of human and financial resources, coordination and communications procedures, and being aware of a range of technical and logistical responses. Such planning is a management tool, involving all sectors, which can help ensure timely and effective provision of humanitarian aid to those most in need when a disaster occurs. Time spent in contingency planning equals time saved when a disaster occurs. Effective contingency planning should lead to timely and effective disaster-relief operations. The contingency planning process can basically be broken down into three simple questions: What is going to happen? What are we going to do about it? What can we do ahead of time to get prepared? This training helps planners think through these questions in a systematic way. Contingency planning is most often undertaken when there is a specific threat or hazard; exactly how that threat will actually impact is unknown. Developing scenarios is a good way of thinking through the possible impacts. On the basis of sensible scenarios it is possible to develop a plan that sets out the scale of the response and the resources needed.

DURATION
5 days.

COURSE OBJECTIVES
When you complete this training, you will be able to:
• Understand the need for contingency planning
• Know the major components of contingency planning
• Create a simple set of contingency plans, using business impact analysis
• Prepare and execute a test of contingency plans
• Understand the unified contingency plan approach

COURSE OUTLINE
Module 1:
Carrying out Risk Assessment
• Risk analysis and identification
• Prioritizing
• Risk Impact/Probability Charts

Module 2:
Carrying out Incident Response System
• Activities before the incident
• Activities during the incident
• Activities after the incident
• Preparing for the incident planning
• Incident Detection
• Incident response
• Incident documentation
• Incident Containment
• Incident Escalation
• Incident Recovery
• After Action Review
• Law Enforcement Involvement

Module 3:
Disaster recovery planning (DRP
• Disaster Classifications
• Planning for Disaster
• Crisis Management
• Disaster Response

Module 4:
Business continuity planning
• Continuity Strategies
• Exclusive Use Options
• Shared Use Options
• Off-Site Disaster Data Storage

Module 5:
Business impact analysis (BIA)
• Threat attack identification
• Business unit analysis
• Attack success scenario development
• Potential damage assessment
• Subordinate plan classification

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FineResults Research Services invites you to training on:

Topics: Climate Change Adaptation in a Changing Environment

Date: 17th to 21st August 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Climate change impacts will affect social and ecological systems in complex and broad-ranging ways as technological, economic, social and ecological changes take place across regions, groups and sectors. Many of these impacts, such as impacts on ecological systems, have cascading effects on social, economic and health outcomes. In order to respond to climate change, more vigorous actions are required to mitigate emissions of greenhouse gases (GHGs) and to adapt to unavoidable consequences that are increasing vulnerability around the world. This training places local sustainability, its development challenges and local vulnerabilities in the context of climate changes at regional and global levels in order to understand their linkages. It is well recognized that a response strategy to climate change is an additional and new area of sustainable community development, that in addition to many other local priorities like reducing poverty, improving sanitation and safe access to fresh water, health issues and diminishing ecological resiliency.

DURATION
5 days.

COURSE OBJECTIVES
• Conduct and interpret vulnerability assessments by understanding its key components of exposure, sensitivity and capacity
• Identify impacts of future climate change and climate variability on human well-being and environment
• Identify key areas of integration, in which adaptation to climate change goes hand-in hand with other development priorities and building resilience in natural and human systems;
• Identify and develop basic elements of an implementation plan to progress with adaptation options.

COURSE OUTLINE
Module 1:
Principles and key concepts
• Introduction to climate change and climate change adaptation
• Strategy development and planning for Climate Change Adaptation
• Legal frame work for Climate Change Adaptation
• Characteristics of Vulnerability and Scope of the Assessment
• Vulnerability Assessments and the DPSIR Framework
o Defining vulnerability
o Vulnerability to climate change
• Monitoring Vulnerability

Module 2:
Introduction to GIS for Climate change
• Introduction to GIS software
• Planning for a GIS system installation
• Working with a GIS software
• Introduction to GPS
• GPS data collection
• GPS data download

Module 3:
Impacts of Climate Change and their Assessment
• Economic sector
• social structure
• Agriculture
• Natural resources
• Migration and disasters

Module 4:
Climate Change Response
• Creating Responses: Determining the adaptation options
• Mainstreaming climate change into development decisions
• Developing adaptation responses
• Contingency Planning

Knowledge resources for Climate Change Adaptation
• Climate modeling climate forecasting and applied technologies for Climate Change monitoring
• Vulnerability assessment
• Uncertainties and risk management
• Capacity building for Climate Change Adaptation
• The role of GIS and Remote Sensing in climate forecasting and modeling

Module 5: Prioritizing Adaptation Responses
• Developing a Basic Implementation Plan and a Communication Strategy
o Implementing adaptation responses
o Communicating climate change and adaptation

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FineResults Research Services invites you to training on:

Topics: Application of Social Protection in Adapting Against Vulnerability

Date: 24th to 28th August 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Social protection is commonly understood as all public and private initiatives that provide income or consumption transfers to a defined group of people including the poor, the vulnerable or marginalised against livelihood risks and enhance the social status and rights with the overall objective of reducing their economic and social vulnerability. The varied objectives of social protection include reducing poverty and vulnerability, building human capital, empowering women and girls, improving livelihoods, and responding to economic and other shocks among other objectives. This 5 days course aim to equip participants with skills necessary in designing, planning, implementation, monitoring and evaluation of social protection intervention.

DURATION
5 days

WHO SHOULD ATTEND?
• Policy makers
• Researchers
• NGO and civil society staffs

LEARNING OBJECTIVES
At the end of training participants will:
• Gain knowledge on social protection
• Designing and implementing social protection programmes
• Identify what works in social protection

TOPICS TO BE COVERED
Module 1: Building a knowledge base on social protection
• Introduction to social protection
• Models of social protection
• Social protection instruments
• Institutional and regional approaches to social protection
• The role of social protection in reducing poverty, vulnerability and social exclusion

Module 2: Designing and implementing social protection programmes
• Targeting social protection
• Delivering social protection
• Social protection systems
• The design of social protection and cash transfer programmes
• Implementation issues, including registration, targeting, payment and information systems

Module 3: Evidence of what works in social protection
• Current evidence on social protection
• Evaluation and policy analysis

Module 4: Monitoring Social Protection
• Monitoring and evaluation approaches for social protection systems
• Analyzing case studies of successful programmes around the world

Module 5: Best Practices
• Source of social risks
• Prevention strategies
• Mitigation strategies
• Coping strategies

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FineResults Research Services invites you to training on:

Topics: Advocacy and Lobbying skills Training Course

Date: 21st to 25th September 2020

Cost: USD 800 or Ksh 65000[color=#990000][/color]

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
The training course suggests a framework for identifying policy goals, creating a plan of action, and effectively building your case for change. We have presented these concepts to you in a certain sequence. However, you may want to think of these ideas as building blocks that can be used as you find you need them. Advocacy rarely unfolds the same way twice and there is an element of unpre-dictability to advocacy that makes it both a challenging and an exciting approach to solving problems.

DURATION
5 days

COURSE OBJECTIVES
• Understand why advocacy and lobbying are important.
• Identify your targets and your partners and learn how to approach your target group.
• Identify your objectives and plan how to reach them.
• Explore various channels of advocacy and tools to reach your objectives.
• Create a realistic approach and structure for an advocacy process your organization can deliver.

COURSE OUTLINE
Module 1:
Understanding Advocacy and Lobbying
• Defining advocacy and Lobbying
• Benefits of advocacy and Lobbying
• Building foundations for advocacy and Lobbying

Module 2:
Planning an Advocacy and Lobbying Campaign
• Advocacy and Lobbying Campaign
• Advocacy cycle
• Advocacy Campaign Planning
• Advocacy Action Plan

Module 3:
Advocacy Message Writing
• Identify purpose
• Identify readership/audiences
• Analyze the policy environment

Module 4:
Outlining an advocacy and lobbying strategy
• Select a message
• Select target audiences
• Structure the message

Module 5:
Finalizing an advocacy strategy
• Select roles
• Identify key messages
• Define advocacy activities

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FineResults Research Services invites you to training on:

Topics: GIS and Remote Sensing in Disaster Risk Management Course

Date: 20th to 24th July 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Disaster risk information is spatial in nature and Geographic Information Systems (GIS) play an important role in disaster risk management. Rapid population growth and urbanization combined with extreme climatic events are causing a rapid increase in vulnerability of communities exposed to hazardous events. Natural disasters inflict severe damage on almost the entire spectrum of social and natural habitats, ranging from housing and shelter, water, food, health, sanitation, and waste management to information and communication networks, supply of power and energy, and transportation infrastructure. There is a great need to utilize disaster risk information in planning for effective coping mechanisms of disaster risk reduction.

DURATION
5 Days

LEARNING OBJECTIVES
Upon completion of the course, the participants will be able to:
• Describe and utilize spatial data, GIS and remote sensing in disaster risk assessment and management
• Utilize existing sources of historical disaster information and elements at risk data
• Apply GIS/remote sensing in hazard, vulnerability and risk assessment
• Employ risk information in emergency preparedness planning
• Visualize hazard and risk information
• Apply GIS/remote sensing to post-disaster damage assessment

COURSE OUTLINE
Module 1:
Introduction
• Basic GIS and RS concepts and terminologies in the context of disaster management.
• International and Regional Guidance: Protocols and action plans
• Introduction to spatial information
• Exercise I: Handling spatial information IUsing Quantum GIS Software).

GIS data sources, data collection and integration techniques for DRM
• Data sources for DRM.
• Satellite image data sources for DRM.
• Task I: GPS /mobile phone GPS for HV field GIS data collection using ODK.
• Activity: GPS/mobile Course Tour.
• Exercise II: Handling spatial information II: GPS, GIS Integration using QGIS.
• Group discussions: How can GIS and RS be used for identification of geographic areas affected by each natural hazard.

Module 2:
Hazard, vulnerability and Risk assessment with GIS and RS (Pre-Disaster)
• Types and methods of risk assessment, risk evaluation, cost-benefit analysis.
• Task II: Gentle Refresher of Microsoft Excel.
• Task III: Spatial data preparation and GIS integration techniques in Microsoft Excel
• Use of GIS in disaster preparedness planning.
• Task IV: Elements at risk, hazard and vulnerability assessment using GIS.
• Task V: GIS Multi criteria analysis in vulnerability assessment.
• Group discussion: How can GIS and RS be used to map existing buildings, infrastructure, land use and critical facilities located in potential hazard areas.

Module 3:
Application of Risk Information for Risk Reduction Planning (Pre-Disaster)
• Task VI: Visualization of risk information (Using QGIS/ILWIS/SAGA Software).
• Task VII: Risk mapping and database generation using Excel/QGIS and SAGA
• Task VIII: Disaster monitoring: satellite image processing techniques for change detection
• Exercise III: Creating a personal geodatabase for GIS emergency support manpower with personnel location information, contact information, and specialized skills.
• Exercise IV: Creating a risk map
• Group discussion: Use of GIS and RS in identification of the extent and magnitude of each hazard.

Module 4:
Introduction to Early warning systems and Information Networks (Pre-Disaster)
• Early warning systems and Information Networks for major hazards.
• Group discussion: How can GIS and RS be used in a Drought Early Warning System

Disaster Impact Analysis (Post Disaster)
• The use of satellite imagery for disaster relief and recovery.
• Activity: Visit to a satellite data receiving and processing station depending on location of training and availability of time.
• Group discussion: How can satellite images and aerial photos be used to locate refugee and internally displaced persons?

Module 5:
Public Participatory GIS and Disaster Risk Management (Pre and Post Disaster)
• Participatory GIS as a tool for DRM mapping.
• Task IX: Using Google Maps and Google Earth in DRM.
• Exercise VI: SMS to Map for community crisis mapping .
• Group discussion: What GIS and RS tools are suitable for mapping of urban (social) hazards such as crime zones, drug corners, and accident black spots


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FineResults Research Services invites you to training on:

Topics: GIS and Remote Sensing in Agriculture Food Security and Climate Change Course

Date: 03rd to 7th August 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.
INTRODUCTION
The main purpose of the course is to enhance the capabilities of technical staff involved in Food Security Analysis, climate analysis and agriculture by providing them with an understanding on the use of spatial and Earth Observation (EO) information as a tool to integrate knowledge about climate change, agriculture, and food security in a meaningful and innovative way.

DURATION
5 Days

COURSE OBJECTIVES
By completing this course, participants will be able to:
• Understand the basic concepts of GIS and Remote Sensing
• Understand concepts and main frameworks in Food Security Analysis
• Understand concepts and main frameworks in Climate Change Analysis
• Understand concepts and main frameworks in Agriculture
• Understand the relationship between climate change, agriculture and food security
• Apply GIS and Remote Sensing as Decision support tool for Climate Change, Agriculture and Food Security.
• Use GIS information in planning FS interventions through spatial multi-criteria analysis
• Assess spatial data availability and understand the importance of spatial data infrastructure (SDI), for data sharing by organizations involved in Climate Change, Agriculture and Food Security.
• Apply GIS and RS for designing implementations of large scale early warning systems
• Use participatory GIS (PGIS) tools during assessments at community level
• Apply remote sensing data and image processing techniques to monitor select Climate Change, Agriculture and Food Security indicators
• Use mobile phones to gather data during field assessments/surveys
• Design and implement their own GIS projects that integrate remote sensing data and GPS-based field information

COURSE OUTLINE
Module 1
Key concepts and definitions
• Introduction to climate change, Agriculture, Food security and their relationship
• GIS for climate change, Agriculture and Food security
• Introduction to GIS and R.S concepts in the context of climate change, Agriculture and Food security.
• GIS project design and setup
• Sources of GIS data for climate change, Agriculture and Food security
• Basic use of GIS Software
• Integrating data from different sources into a GIS
• Using handheld GPS for field data collection
• Geospatial Analysis for Agriculture and food security
• Mapping areas of climate change
• Mapping areas of food insecurity
• Remote Sensing in climate change, Agriculture and Food security.
• Introduction to Remote sensing
• Use of Remote sensing and image analysis software
• Image interpretation
• Image classification
• Change detection

Module 2:
The impacts of climate change on Agriculture and food security (Use of GIS in Climate Predictions)
• Response to climate change: Adaptation and mitigation: the climate analogue tool
• Role of climatic change detection on Agriculture and food security
• International and National Policy Framework for addressing climate change; UNFCCC Kyoto protocol and existing local policies

GIS and Remote sensing in Agriculture
• Yield monitoring and mapping
• Characterizing soil spatial variability
• Site?specific soil management: prescription maps
• Grid sampling, management zones, realistic yield expectations
• Remote sensing (RS) for site?specific management.

Module 3:
Assessment
• Food Security Assessment and Analysis
• The use of satellite imagery for food insecurity detection and recovery
• Visualization of vulnerability information
• Assessing food insecurity impact
• Climate change sources of uncertainty and variation

Module 4
Global Positioning System (GPS) and Basic GPS skills
• Types of GPS
• GPS, GLONAS, Argos, and other data types and sources
• Developing standard procedures and guidelines
• GPS configuration, Capturing data from surveys
• GPS data download and related tasks
• Integrating GPS field data into the GIS database

Module 5
Public Participatory GIS and data collection using mobile phones
• Participatory GIS methods
• Participatory GIS and HVR analysis
• Community-based climate predictions
• Using GIS to Build hazard-aware and ready communities
• Use of Mobile Phones for GIS Data collection in Assessment and Surveys

Case Studies:
• Integrating Climate Change, Agriculture and Food Security (Climate Analogue)
• GIS based approaches for adapting Agriculture to Climate Change


NB: We are offering you a half day, fun and interactive team building event!

Be part of the Training
• Click HERE for the individual registration.

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FineResults Research Services invites you to training on:

Topics: GIS and Remote Sensing for Epidemiology and Public Health Course

Date: 17th to 21st August 2020

Cost: USD 800 or Ksh 65000

Contacts: +254 759 285 295, training@fineresultsresearch.org

Venue : FineResults Research, Nairobi, Kenya Training Centre.

INTRODUCTION
Epidemiology seeks to determine associations between exposure risk and disease that are spatially dependent. Public health focuses on the health of populations rather than of individuals and focuses more on prevention of health problems. These efforts fall naturally within the domain of problems requiring use of spatial analysis as part of the solution, and GIS and other spatial analysis tools are therefore recognized as providing potentially transformational capabilities for Epidemiology and public health efforts. Statistics are a mainstay in the toolkit of public health professionals. Human memory being what it is, however, even Public health professionals with reasonable statistical training, over the years, often forget the basics.

Duration
5 Days

COURSE OBJECTIVES
• To develop Understanding on the different components of a GIS and the role GIS plays in solving epidemiological and public health problems.
• To present to participants all data-related aspects of a GIS, such as the data models in GIS, data input, data editing, data visualization, metadata and managing a spatial database.
• To Carry out advanced analyses of geographical data with specific reference to epidemiological related issues
• To improve data management and analysis skills of the participants
• To perform spatial and temporal epidemiological and public health analysis using GIS.
• Establish understanding on how to work with spatial data and GIS techniques to solve epidemiology and public health problems.
• To expose participants to data capture, input, manipulation and display by GIS
• To demonstrate to participants use of GIS in mapping health facilities and projects.
• To explain to the participants role of GIS as a decision support system in public health

COURSE OUTLINE
Module 1:
Epidemiology and public health concepts and frameworks
• Introduction to Epidemiology and public health concepts
• Introduction to GIS in Epidemiology and public health context
• Planning for a GIS system installation
• GIS Data sources for Epidemiology and public health
• Working with a GIS software

Module 2:
GIS data management in epidemiology and public health.
• Public health and epidemiology GIS Database creation
• Data Types and Data Sources in Epidemiology and public health
• Working with GIS Data
• Working with data from different sources (databases, shapefiles and spreadsheets)
• Facilitated Practical exercises in working with GIS Data
• Styling and symbolization

Module 3:
Spatial mapping and Visualization in Epidemiology and Public health
• Mapping Project activities
• GIS mapping of priority public health problems (HIV and AIDS, Malaria, Tuberculosis)
• GIS mapping of most at risk populations (MARPS)
• GIS Mapping of health facilities and health resources

Module 4:
GIS for monitoring in Epidemiology and public health
• GIS in Disease transmission and progression mapping
• GIS as a Decision Support System for Public Health Management (What, where, when, how and why analysis – case studies)
• Use of GIS in Epidemiology and Health Related Disaster Management (case studies or practical)
• GIS in Environmental management and Public health (case studies or practical)
• Participatory GIS in public health
• Use of mobile GIS in health surveillance and assessments
• Integrating GIS into Electronic Medical Records (case studies or practical)

Module 5:
Basic statistical data analysis for Epidemiology and Public health
• Introduction to excel
• Preparing data for analysis
o Creating a list
o Manipulating data using formulas
o Outlining and Sorting data
o Entering Data: Data Forms
o Finding Records Using Criteria
o Filtering Data
o Data Auditing
o Data validation

Graphs and ChartsLine Graphs
• Bar Charts
• Statistical Data Analysis with Excel
o Descriptive Statistics
o Pivot tables
o Probability Distribution
o Hypothesis tests
o Analyses of Variance
o Measures of Precision
o Single Factor Experiments
o Factorial Experiments
o Regression Analysis
• Data Quality reporting


NB: We are offering you a half day, fun and interactive team building event!

Be part of the Training
• Click HERE for the individual registration.

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