₦airaland Forum

Dear all,

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

FineResults Research Services would like to invite you to high impact training on Mobile Data Collection for M E using ODK and Kobo Toolbox to be held in Nairobi 16th-20th December 2019

Event information

Course Name: Mobile Data Collection for M E using ODK and Kobo Toolbox

Venue: FineResults Research, Nairobi, Kenya

Event Date: 16th-20th December 2019

Course Fee: KES 65000 or USD 800

Online Registration: REGISTER HERE

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


TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295
or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Services Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

Visit our website for more details

How to participate

Individual Registration

Contact information

Email:training@fineresultsresearch.org

TEL: +254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/
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Visit our face book page

Dear all,

RE: Research Methodology Data Management Analysis and reporting using SPSS

FineResults Research Services would like to invite you to high impact training on Research Methodology Data Management Analysis and reporting using SPSS to be held in Nairobi from 2nd-6th December 2019

Event information

Course Name: Research Methodology Data Management Analysis and reporting using SPSS

Venue: FineResults Research, Nairobi, Kenya

Event Date: 2nd-6th December 2019

Course Fee: KES 65000 or USD 800

Online Registration: REGISTER HERE

INTRODUCTION
Research, Data Management, Graphics & statistical analysis has always been integral parts of development work and has been playing a critical role towards achieving of Sustainable development Goals (SDGs). As a result, knowledge of research methodologies and application of statistical application software's to support data analysis in this era is very important. Statistical Packages for Social Sciences (SPSS) has proved to be quite useful for the purpose of data management, graphical representation, and statistical analysis of data. SPSS application is user-friendly, reduces the time and efforts of the researcher employed in the process research. This course aims at equipping participants with knowledge and vast skills which will enable them to use SPSS in Data Management, Graphics & statistical analysis.

DURATION
5 Days

COURSE OBJECTIVES
The training will enable participants to;
• Understand how to create and edit a data file
• Enter categorical and continuous data
• Define, label, validate and Sort variables
• Transforming, recording and computing variables
• Graphing quantitative data
• Perform descriptive and inferential data analysis

TOPICS TO BE COVERED
Module 1: Statistical Concepts and Overview of SPSS
Statistical Concepts
• Descriptive Statistics
• Common inferential statistics

Overview of SPSS
• SPSS window-dialog boxes
• File Extensions (new, Open, Open Datasets)
• Save, Save As, Import and exporting datasets
• Creating and editing a data file

Module 2: Data Entry/Management, Descriptive Statistics and Graphics
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


Descriptive Statistics: Measures of Variability and Central Tendency
• Describing quantitative data
• Describing qualitative data

Graphics using SPSS
• Chart Builder
• Graphing quantitative and qualitative data

Module 3: Quantitative Data Analysis (Part I)
Correlation
• Correlation
• Subgroup Correlations
• Scatterplots of Data by Subgroups
• Overlay Scatterplots

Regression Analysis
• Assumptions of selected types of regression
• Linear regression; Binary logistic regression; ordered logistic regression; multinomial logistic regression and Poisson regression

Comparing Means
• One Sample t-tests
• Paired Sample t-tests
• Independent Samples t-tests
• Comparing Means Using One-Way ANOVA

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

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

Module 5: Quantitative Data Analysis (Part III)
Chi-Square
• Goodness of Fit Chi Square All Categories Equal
• Goodness of Fit Chi Square Categories Unequal
• Chi Square for Contingency Tables

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


TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295
or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Services Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

Visit our website for more details

How to participate

Individual Registration

Contact information

Email:training@fineresultsresearch.org

TEL: +254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/
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Visit our face book page

Dear all,

RE: Epidemiology and Bio-statistics using Stata

FineResults Research Services would like to invite you to high impact training on Epidemiology and Bio-statistics using Stata to be held in Nairobi from 9th-20th December 2019

Event information
Course Name: Epidemiology and Bio-statistics using Stata

Venue: FineResults Research, Nairobi, Kenya

Event Date: 9th-20th December 2019

Course Fee: USD 1600

Online Registration: REGISTER HERE

Introduction
Participants will learn the principles of epidemiology and biostatistics and gain skills in using epidemiological and biostatistician tools to describe monitor and investigate the determinants of population health. The statistical background required to conduct research, describe, summarize, develop hypothesis, assess associations, analyze data, interpret and communicate results will be studied comprehensively. The course targets health care professionals who wish to consolidate their knowledge and skills and increase their understanding of the importance of epidemiology and statistics in public health today.

DURATION
10 Days

COURSE OBJECTIVES
At the end of the course, participants will be able to:
• Use epidemiological and biostatistical tools to describe, monitor and investiga the determinants of population health.
• Gain key statistical background necessary for conducting valid research
• Describe and summarize data
• Develop hypothesis and analyze data.
• Interpret and communicate results

Module 1:
1. Data management & graphics in Stata
Introduction to Stata
• Starting Stata
• Setting layout
• Directory management commands
• Data types in Stata
• Using Stata as a calculator
• Stata command and options
• Stata do-files
• Creating data sets directly in Stata
• Rename of variables
• Managing variables and/or variable properties
• Importing data from other software
• Exporting data to other software
• Loading data into the memory
• The in and if qualifiers
• The by prefix
• Create subsets (keep and drop)
• Create random variables (from distributions)
• Random sampling
• Sort variables
• Change order of variables
• Count number of observations
• Generate sequential numbers
• Working with dates
• Viewing data sets
• Interrupting computations
• Help

Module 2:
Creating and changing variables
• Create new variables
• Extended generate command
• Duplicate an existing variable
• Replace contents of a variable
• Convert numeric to string
• Convert string numbers to numeric
• Convert numeric values to missing and vice versa
• Recode string variables
• Decode numerically coded variables
• Transforming a continuous variable to categorical
• Reduce number of categories of a categorical variable
• Managing duplicates

Transforming variables and data sets
• Split variables
• Extract parts of variables
• Standardize variables
• Create dummy variables
• Create separate variables
• Transpose variables
• Stack variables
• Unstack variables
• Appending data sets
• Combining data sets by a common variable
• Convert datasets from wide to long
• Convert datasets from long to wide
• Some application to data cleaning

Introduction to Stata graphics
• The graphics dialog windows
• Graph elements (x and y labels, titles, legends)
• Graph appearance (marker symbol, color, size, line
• width, pattern, e.t.c)
• Multiple graphs (by option)
• Graphics syntax
• Adding text and annotations to graphs
• Saving and printing graphs
• Combining active graphs into one figure
• Graphics window (interactive plotting)
• Common graphs and charts

Module 3:
2. Biostatistics
Introduction to statistical concepts
• Review of research process
• Research designs
• Sampling techniques
• Types of data
• Descriptive statistics
• Graphs for descriptive statistics
Hypothesis testing
• Definitions
• Statistical inference
• Generalizability
• Confidence intervals in clinical research
• P-values in clinical research
• Hypothesis testing
• Interpreting hypothesis test results

Tests of differences in population means
• One sample t tests
• Two sample independent t tests
• Two sample paired t test
• One way analysis of variance
• Two way analysis of variance

Module 4:
Analysis of contingency tables
• Introduction
• Two by two tables: Proportion test
• Two by two tables: Fisher’s exact test
• McNemar matched pairs for binary response
• Other measures of association

Non-parametric methods
• Sign test
• Wilcoxon signed-rank test
• Median test
• Wilcoxon signed-sum (Mann-Whitney) test
• Kolmogorov-Sminorv goodness-of-fit test
• Kruskal-Wallis one way analysis of variance
• Friedman two-way analysis of variance
• Spearman rank correlation
• Nonparametric regression analysis

Linear regression and correlation
• Overview
• Pearson correlation analysis
• Simple linear regression
• Multiple linear regression
• Interpret results from linear regression
• Regression diagnostics

Module 5:
3. Epidemiology
Measures of disease frequency
• Importance of measures of disease frequency
• Measures of risk and association
• Risk verses prevention
• Prevalence
• Incidence, cumulative incidence & incidence density
• Relationship between prevalence and incidence
• Stratification of disease frequency

Module 6:
Measures of effect for categorical data
• Risk difference
• Risk ratio
• Attribute fraction
• Attribute risk
• Relative risk
• Odds ratio

Measures of effect for stratified categorical data
• Mantel-Haenzsel test
• Odds ratio for stratified data
• Odds ratio for matched pairs studies
• Testing for trends

Vital statistics
• Introduction
• Death rates and ratios
• Measures of fertility
• Measures of morbidity

Clinical research designs
• Study population
• Exposure and outcome
• Study designs
• Causation

Module 7:
Case report and series
Cross-sectional studies
Cohort studies
• Cohort study design
• Ascertainment
• Advantages
• Disadvantages
• Poisson regression for cohort studies

Case-control studies
• Case-control study design
• Advantages
• Disadvantages
• Unconditional logistic regression
• Conditional logistic regression

Misclassification
• Definition
• Non-differential misclassification
• Differential misclassification
• Assessing misclassification

Module 8:
Confounding
• Confounding overview
• Evaluation of confounding factors
• Confounding by indication

Remedies for confounding
• Restriction
• Stratification
• Matching
• Regression
• Randomization
• Interpretation after adjusting for confounding
• Unadjusted verse adjusted association: confounding

Effect modification
• Overview
• Synergy between exposure variables
• Effect modification verses confounding
• Evaluation of effect modification
• Effect modification in clinical research articles
• Effect modification on the relative and absolute scales

Module 9:
Introduction to survival analysis
• Overview
• Organizing survival data for computer use
• Censoring (right and left)
• Truncation (right and left)
• Plotting survival data (the Kaplan-Meier curve)
• Log-rank tests
• Hazard rates
• Cox proportional hazard models

Module 10:
Research ethics and statistics
• Introduction
• Protection of human research subjects
• Informed consent
• Equipoise
• Research integrity
• Authorship policies
• Data and safety monitoring boards


TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295
or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Services Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

Visit our website for more details

How to participate

Individual Registration

Contact information

Email:training@fineresultsresearch.org

TEL: +254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/
[color=#006600][/color][quote][/quote]Visit our face book page

EVENT: Research Design, Data Management and Analysis using Stata

VENUE: FineResults Research Services, Nairobi, Kenya

Date: 09th -13th December 2019

EVENT PRICE: USD 800

Contact information

Email: training@fineresultsresearch.org

TEL: +254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/

Visit our face book page

ABOUT US

INTRODUCTION
Stata is a complete statistical software package for data management and statistical data analysis. Results from its analysis can easily be presented in both tables and graphs. It comprises a collection of data functions that range from simple to advanced application. The software is very popular with data manipulation, cross sectional data analysis, panel data analysis, forecasting, time series analysis, survival analysis, longitudinal survey methods, structural equation modeling and simulations. The software can be used via a graphical user interface (where users interact with menus, icons and dialog boxes) or a command-line interface (using its very intuitive programming language). The software is supported by a very active user community that not only offer dedicated support but also develops new packages that continuously improves the software capabilities. This five days course is designed to enhance participants’ abilities of using the software. By the end of the training sessions, participants would become intermediate and advanced level users of the software.

DURATION
5 Days

LEARNING 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 and use mobile phones for data collection(Open data Kit)
• Use important functionalities in Stata that relate to data manipulation and management.
• Create and manipulate graphs and figures in Stata
• Use Stata effectively for analyzing quantitative data descriptively.
• Use Stata effectively for analyzing quantitative data using inferential statistics.
• Keep records of your work and create reproducible analyses.
• Export the results of analyses into word processing programs such as Microsoft Word.

TOPICS TO BE COVERED
Module 1: Introduction
Introduction to Stata
• Introduction to Statistics Concepts
• Concepts and Software and technologies for Data Collection and Processing
• Stata Basics: Program window features, Data Structures and Types of Variables
• Data Management using Stata
• Output Management
• Basics of stata programming

Introduction to 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

Survey Authoring and Preparation of mobile phone for data collection
Survey Authoring
o Design forms using a web interface: ODK Build, Koboforms, PurcForms
Preparing the mobile phone for data collection
o Installing applications: ODK Collect (using Google play)

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

Hosting survey data
• Online Hosting survey data (ODK Aggregate, Formhub, ona.io and KoboToolbox

Module 2: Descriptive Statistics
Measures of Variability and Central Tendency
• Describing quantitative data
• Describing qualitative data (Tabulating data with Stata)

Stata Graphics
• Graphing quantitative data
• Graphing qualitative data

Module 3: Correlation, Chi-square and mean comparison analysis
Correlation
• Correlation
• Subgroup Correlations
• Scatterplots of Data by Subgroups
• Overlay Scatterplots

Chi-Square
• Goodness of Fit Chi Square All Categories Equal
• Goodness of Fit Chi Square Categories Unequal
• Chi Square for Contingency Tables

Comparing Means
• One Sample t-tests
• Paired Sample t-tests
• Independent Samples t-tests
• Comparing Means Using One-Way ANOVA

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

Module 4: Regression Analysis and Nonparametric Statistics
Regression Analysis
• Assumptions of selected types of regression
• Linear regression; Binary logistic regression; ordered logistic regression; multinomial logistic regression and Poisson regression

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

Module 5: Longitudinal/panel and Time series Analysis
Panel data analysis
• Introduction to panel data
• Longitudinal/panel data analysis

Time series Analysis
• Basic elements of time-series analysis
• Managing and summarizing time-series data
• Time series data analysis
• Introduction to forecasting

VISIT OUR WEBSITE FOR MORE DETAILS

How to participate

Individual Registration

View Related Courses
• Data Collection and Processing using CSPro
• Collection and management of Research data using ODK and Kobo Tool
• Mobile Data Collection for M E using ODK and Kobo Toolbox
• Analysis of Qualitative Data using NVivo
• Analysis of Qualitative Data using QDA Miner
• Methodology and Software for Processing and Analyzing surveys and Assessments data (SPSS/Stata/Excel/ODK)
• Research Methodology, Data Management, Analysis and reporting using SPSS
• Epidemiology and Bio-statistics using Stata
• Statistical Data Analysis using Microsoft Excel
• Advanced Microsoft Excel Training
• Analysis of Complex Sample Survey Data using Stata
• Longitudinal/Panel and Time Series Data Analysis using Stata

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• Disaster Risk Reduction
• Emergency Planning and Management
• Nutrition Assessment in Emergencies
• Advocacy and Lobbying skills
• Flood Disaster Risk Management in Changing Climate
• Early Warning Systems
•
View our courses catalogue in the Research Institute
For further inquiries, please contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to Fine Results Research Limited bank before C.O.B 2nd/12/2019. Send proof of payment through the email: training@fineresultsresearch.org

Dear all,

RE: Microsoft Excel Dynamic Dashboards for Management Reporting

FineResults Research Services would like to invite you to high impact training on [b]Microsoft Excel Dynamic Dashboards for Management Reporting [/b]to be held in Nairobi from 18th-22nd November 2019

Event information

Course Name: Microsoft Excel Dynamic Dashboards for Management Reporting

Venue: FineResults Research, Nairobi, Kenya

Event Date: 18th-22nd November 2019

Course Fee: KES 65000 or USD 800

Online Registration: REGISTER HERE

INTRODUCTION
Microsoft Excel Dashboards are reporting mechanisms that can deliver Business Intelligence (BI) in graphical form. Dashboards take raw data; allow it to be analysed 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

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.

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295
or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Services Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

Visit our website for more details

How to participate

Individual Registration

Contact information

Email:training@fineresultsresearch.org

TEL: +254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/

Visit our face book page

Dear all,

RE: Statistical Data Analysis using Microsoft Excel

FineResults Research Services would like to invite you to high impact training on Statistical Data Analysis using Microsoft Excel to be held in Nairobi from 9th-13th December 2019

Event information
Course Name: Statistical Data Analysis using Microsoft Excel

Venue: FineResults Research, Nairobi, Kenya

Event Date: 9th-13th December 2019

Course Fee: KES 65000 or USD 800

Online Registration: REGISTER HERE

INTRODUCTION
Microsoft Excel is a very powerful tool for statistical data analysis. In fact there are numerous instances when a data analyst does not require to use other specialized data analysis software such as SPSS, Stata, R, etc, as long as they have access to Microsoft Office Excel.
This course will help improve participants' familiarity with Excel statistical functions and hence achieve great effectiveness and efficiency in research. The course describes how to use the Analysis ToolPack in Microsoft Excel, numerous statistical functions and data management techniques as applicable in most research endevours. An explanation of Excel limitation and how to overcome them will also be provided. Keen attention would be made in guiding participants on how to present results from Microsoft Excel data analysis as well as writing research reports.

DURATION
5 Days

COURSE OBJECTIVES
By the end of this training, participants will become knowledgeable in the following:
• Data management techniques using Microsoft Excel
• Descriptive statistics and methods of results interpretation and presentation.
• Multivariate methods of data analysis and subsequent methods of results interpretation and presentation.
• Selection of appropriate statistical model.
• How to present/communicate data analysis results.

Course Outline
Module 1:
Data management in Microsoft Excel
• Organizing data for analysis
• Computing new variable information

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

Excel Graphics
• Graphing quantitative data
• Graphing qualitative data

Module 2: Correlation, Chi-square and mean comparison analysis
Correlation
• Correlation
• Subgroup Correlations
• Scatterplots of Data by Subgroups
• Overlay Scatterplots

Chi-Square
• Goodness of Fit Chi Square All Categories Equal
• Goodness of Fit Chi Square Categories Unequal
• Chi Square for Contingency Tables

Comparing Means
• Confidence Interval for the Mean
• Test of Hypothesis Concerning the Population Mean
• Difference Between Mean of Two Populations
• One Sample t-tests
• Paired Sample t-tests
• Independent Samples t-tests
• Comparing Means Using One-Way ANOVA

Module 3: Aggregating Data in Excel
• Statistical Functions
• Outlines
• Subtotals
• Pivot Tables

Module 4: Data Relation Analysis
• Normal Distribution
• Descriptive Statistics
• Linear Correlation
• Regression Analysis
• Covariance

Module 5: Analysing Data in Time and Forecasting
Analysing Data in Time
• Trends/Regression line
• Linear, Logarithmic, Polynomial, Power, Exponential, Moving Average Smoothing
• Seasonal fluctuations analysis

Forecasting
• Extrapolation

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295
or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Services Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

Visit our website for more details

How to participate
Individual Registration

Contact information
Email:training@fineresultsresearch.org

TEL: +254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/

Visit our face book page

FineResults Research Ltd offers training solutions to individuals, communities, governments and civil society organizations, both local and international.

We also provide application-oriented and field-based consultancy services in all aspects of research and evaluations from inception to completion. This includes research designs, designing monitoring and evaluations systems, technical reviews, programme evaluations, questionnaire validation, data collection, data capture, data analysis and report writing. FineResults Research Ltd Services is a limited company incorporated under the laws of Kenya. Its head office is in Nairobi Kenya.

The organization has a wide range of experience working with both local and international organizations in both consultancies and capacity building in Africa and beyond.

Mission

A world class training and research organization for the realization of individuals, organizations and community welfare.

Vision

To provide world class training and research services that increase individuals and organizations productivity in their development role.

Our Value Statement

We cherish partnerships.
We believe that our Training and Research Solutions can re-energise organisations by creating vision, certainty and strategic intent.
We foster a results based approach in bringing relevant and sustainable solutions to our clients.
We recognise that we must offer solutions that contribute to employment, development and economic growth.

Dear all,

RE: Emergency Planning and Management

FineResults Research Services would like to invite you to high impact training on Emergency Planning and Management to be held in Nairobi from 16th-20th December 2019

Event information
Course Name: Emergency Planning and Management

Venue: FineResults Research, Nairobi, Kenya

Event Date: 16th-20th December 2019

Course Fee: KES 65000 or USD 800

Online Registration: REGISTER HERE

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;

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295
or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

Visit our website for more details

How to participate

Individual Registration

Contact information
Email:training@fineresultsresearch.org

TEL: +254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/

Visit our face book page

Dear all,

RE: Flood Disaster Risk Management in Changing Climate

FineResults Research Services would like to invite you to high impact training on Flood Disaster Risk Management in Changing Climate to be held in Nairobi from 9th-13th December 2019

Event information
Course Name: Flood Disaster Risk Management in Changing Climate

Venue: FineResults Research, Nairobi, Kenya

Event Date: 9th-13th December 2019

Course Fee: KES 65000 or USD 800

Online Registration: REGISTER HERE

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

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295
or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

Visit our website for more details

How to participate
Individual Registration

Contact information
Email:training@fineresultsresearch.org

TEL: +254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/

Visit our face book page

Dear all,

RE: Disaster Risk Reduction

FineResults Research Services would like to invite you to high impact training on Disaster Risk Reduction to be held in Nairobi from 9th-13th December 2019

Event information

Course Name: Disaster Risk Reduction

Venue: FineResults Research, Nairobi, Kenya

Event Date: 9th-13th December 2019

Course Fee: KES 65000 or USD 800

Online Registration: REGISTER HERE

INTRODUCTION
Disaster Risk Reduction (DRR) skills are fundamental to the process of increasing awareness on natural hazards and disaster risk reduction to key stakeholders with knowledge on disaster management to empower the actors to support their organizations in developing disaster resilient programs and projects. In order to build the capacity of Development professionals who are actively engaged in the Development and Emergency response activities in governmental and non-governmental organizations, this one week course will provide hands-on training in DRR and the application of Knowledge to decision making in DRR planning and Management. The workshop offers intensive training that will cover the fundamental concepts and tools for DRR. People-centered early warning systems empower communities to prepare for and confront the power of natural hazards and measurement of the systems in terms of lives saved and reduction in losses, which is directly related to the execution of an anticipated response by the people and institutions once a warning is issued. This training will also address traditional views on early warning systems, and what it takes to transform them into efficient, people-centred systems. The workshop also presents a practical guide for using a geographic information system (GIS) to integrate, visualize, and analyze geographically-referenced data extracted from key data sets to facilitate DRR.

DURATION
5 days.

COURSE OBJECTIVES
After the course, participants will be able to:
• Understand disaster risk reduction concepts and DRR conceptual frameworks and institutional mechanisms
• Identify and understand the causes and impacts of various hazards locally, Regionally and globally
• Identify disaster risk reduction strategies and opportunities in programming
• Monitor programme inputs, processes and results required for management of DRR.
• Understand concepts, methods, and tools for monitoring of DRR in Humanitarian response, emergency response and development programs
• Identify ways to overcome barriers to conducting effective Disaster Risk monitoring.
• Conduct disaster Risk monitoring using appropriate methods and tools.
• Get basic knowledge of analyzing qualitative data for humanitarian, emergency and development sector programmes related to DRR
• Use Geographic Information Systems (GIS) and GPS to gather data, collaborate and share information.
• Communicate findings to stimulate learning and reflection.

COURSE OUTLINE
Module 1:
Understanding disaster risk reduction.
• Key concepts and Terminologies.
• The Disaster cycle and disaster risk Reduction
• The Hyogo framework for implementation
• Post 2015 framework for DRR
• Community based Disaster Risk Management (CBDRM) framework for DRR.

Insights into global and regional perspectives of hazards and disaster risk reduction
• How have hazards and disasters, shaped global disaster risk, reduction agenda?
• Disaster risk reduction as a national and a local priority Agenda
• Disaster reduction strategies and legal frameworks
• Disaster risk reduction and mitigation measures
• Mitigation, prevention, minimization and risk reduction strategies

Module 2:
The process of Identifying, assessing and monitoring disaster risks and enhancing early warning
• Hazard, vulnerability and disaster risk
• Introduction to hazards, vulnerability and capacity assessment (HVCA)
• Using knowledge, innovation and education to build a culture of safety and resilience at all levels

Module 3:
Disaster Preparedness, Early Warning and mitigation
• Understanding “disaster preparedness”
• The respective components of a disaster preparedness mechanism
• Understand early warning systems
• Understand and develop early warning framework
• Disaster contingency planning (National, regional and community contingency plans)
• Insights into effective response mechanisms Strengthening at all levels

Module 4:
Community participation
• Introduction to community participatory tools and techniques
• Organizing and conducting a participatory risk assessment
• The key elements of people-centered early warning systems

Code of conduct in disaster response
• Planning DRR strategies
• Monitoring and evaluating the impact of DRR strategies
• How to incorporate DRR into various humanitarian sectors

Module 5:
Use Geographic Information Systems (GIS) and GPS to gather data, collaborate and share information on DRR
• Mapping peoples’ historical knowledge of the location, frequency, spatial extent and intensity of frequent hazards
• Participatory mapping copying strategies, resilient adaptation
• Participatory mapping of urban hazards
• Spatial planning

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 / +254 759 285 295 or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 / +254 759 285 295
or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

Visit our website for more details

How to participate
Individual Registration

Contact information
Email:training@fineresultsresearch.org

TEL: +254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/

Visit our face book page

Dear all,

RE: ICT for Disaster Response

FineResults Research Services would like to invite you to high impact training on ICT for Disaster Response to be held in Nairobi from 9th-13th December 2019

Event information
Course Name: ICT for Disaster Response

Venue: FineResults Research, Nairobi, Kenya

Event Date: 9th-13th December 2019

Course Fee: KES 65000 or USD 800

Online Registration: REGISTER HERE

INTRODUCTION
This five (5) days training course explores how new information-, communication- and mapping technologies can be practically used to respond to disasters, augment situational awareness, improve relief coordination and much more. The digital revolution is changing disaster response. From the earthquake in Haiti to Typhoon Haiyan in the Philippines, the Ebola outbreak in West Africa and the recent earthquake in Nepal, a range of new tools can help national and international organizations respond faster and more effectively. This course covers the use of ICT in disaster response using real case studies for better clarity.

DURATION
5 days.

COURSE OBJECTIVES
After the course, participants will be able to:
• Assess the opportunities and challenges in the use of technology to respond to disasters
• Integrating humanitarian approaches and development with technological strategies
• Learn to manage and operate software platforms and technological tools in disaster response
• Develop strategies to solve challenges during disasters using technological platforms
• Develop self awareness and confidence in the use of maps, mobile technologies and social media

COURSE OUTLINE
Module 1:
Introduction & Social Media for Crisis Response
• The Power of the Crowd: Digitizing the Response
• Information Overload: Verification, Analysis, and Decision Making in Real-Time
• How Case studies on the use of Social Media in Response to the Earthquake in Haiti, Nepal and Typhoon Haiyan in the Philippines
• Tools: Twitter, Facebook, Instagram, Tomnod, AIDR
• Tools collaborative Mapping in a crisis

Module 2:
Mapping the Crisis - New Techniques for Disaster Response and Preparedness
• Distinguishing between Ushahidi and Open Street Map
• Maps for disaster response
• Damage mapping with Open Street Map (with examples from the Haiti, West Africa, Philippines and - hopefully - Nepal)
• Online Mapping without a Mobile Internet Connection
• Crowdsourcing Remote Mapping and Image Identification
• Tools: OpenStreetMap, Ushahidi, TomNod, FieldPapers
• ICT tools for tracing and restoring family links

Module 3:
Mobile Response: How Mobile Technology is Changing Disaster Response
• Field data collection using Mobile Devices
• SMS Campaigns for Early Warning and Crisis Prevention
• Smartphones and Apps for Disaster Response
• Using Secondary Data to Track Population Movements
• Tools: ODK, Kobo Toolkit, TextIt, Magpi, FrontlineSMS

Module 4:
Looking Ahead: Where New Technologies are Taking Us
• Roles of Drones play in Humanitarian Emergencies
• Utilization of the Web for De-Centralized Disaster Response
• The Responsibility to Protect Data - How NGOs can Protect Sensitive Information

Module 5:
• GIS and RS in Early Warning Systems

TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org

REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254732776700
or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

Visit our website for more details

How to participate
Individual Registration

Contact information
Email:training@fineresultsresearch.org

TEL: +254 732 776 700 / +254 759 285 295

Website: fineresultsresearch.org/training/

Visit our face book page

Dear all,
Re: Report Writing for Project Monitoring and Evaluation

Fine Results Research would like to invite you to high impact training on Report Writing for Project Monitoring and Evaluation to be held Nairobi on 23rd-27th September 2019.

Event information
Course Name: Report Writing for Project Monitoring and Evaluation

Venue: FineResults Research, Nairobi, Kenya

Event Date: 23rd-27th September 2019.

Course Fee: KES 65000 or USD 800

Online Registration: REGISTER HERE

INTRODUCTION
This workshop follows a systematic process of introduction to monitoring and evaluation (“M&E”) Reports writing and the importance of writing reports. Ideally this workshop provides summarized information regarding M&E reporting and is facilitated by an experienced M&E practitioner. There is not much point to collecting & monitoring evaluation data unless you know how & by whom that data will be used. Your challenge is to turn raw data information into useful knowledge & then report your results to the different programme stakeholders (e.g., donors, program staff, government, management) in a way that will be useful both to them & your organization.

COURSE OBJECTIVES
At the end of this course, the participants will be able to:
• Understand data collection tools
• Analyse data
• Reporting & why it is important
• Describe the different types of reports & communication tools that are usually produced by organizations
• Formats for quarterly & final project reports
• Develop step to step parts of M&E reports
• Report against indicators
• Describe how information can be used for decision-making.

COURE OUTLINE
Module1:
Data collection
• Meaning of data
• Data collection methods
• Analysis data

Module 2:
Introduction to M&E reports writing
• Definition and types
• Why do we report
• Narrative/progress reporting
• General M&E report structure

Module 3:
M&E reports writing
• Key sections of M&E reports

Module 4:
Writing the M&E Report
• Planning the report
• Organizing the contents
• Writing the different parts of the report
• Reporting against indicators

Module 5:
Finalizing the M&E Report
• Reviewing the report
• Editing the report
• Addressing comments/feedback

Visit our website for more details

How to participate
Individual Registration

Contact information
Email:training@fineresultsresearch.org
TEL: +254 732 776 700
Website: fineresultsresearch.org/training/

Dear all,
Re: Mobile Data Collection for M E using ODK and Kobo Toolbox

Fine Results Research would like to invite you to high impact training on Mobile Data Collection for M E using ODK and Kobo Toolbox to be held Nairobi on 16th-20th December 2019.

Event information
Course Name: Mobile Data Collection for M E using ODK and Kobo Toolbox

Venue: FineResults Research, Nairobi, Kenya

Event Date: 16th-20th December 2019.

Course Fee: KES 65000 or USD 800

Online Registration: REGISTER HERE

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

Visit our website for more details

How to participate
Individual Registration
Contact information
Email:training@fineresultsresearch.org
TEL: +254 732 776 700
Website: fineresultsresearch.org/training/

EVENT: Debt Collection and Credit Management

Venue: FineResults Research Services, Nairobi, Kenya

Date: 16th -20th September 2019

Event Fee: USD 800

ABOUT US

INTRODUCTION
Debt management is the process of establishing and executing a strategy for managing debt in order to realize the initially expected revenue. This helps in reducing organizational financial risks while meeting the required cost objectives and other debt management goals. This course provides an overview of debt and credit management by explaining concepts in a user-friendly language, avoiding mathematics and using simple illustrations and practical examples.

DURATION
5 Days

COURSE OBJECTIVES
Upon completion of this training course, participants will be able to:
• Communicate with a creditor after careful planning in order to handle objections from the debtor and deal with queries.
• Identify negotiating strategies in order to reach payment agreement from the debtor.
• Demonstrate effective communication as a debt collector.
• Understand the importance of recording all communications and discussions made between the debtor and the debt collector.
• Implement the negotiation steps and processes and understand the need thereof.
• Implement effective debt collecting strategies according to the code of conduct.

COURSE OUTLINE
Module 1:
Understanding company credit and debt
• Reviewing the credit cycle from application to payment
• Identifying possible causes of outstanding payments
• Assessing the impact of outstanding debt on your company's financial results
• Identifying ways in which you can motivate your customers to pay their outstanding debts

Module 2:
Debt collection as a vital financial activity
• Completing debtor reports as an effective debt management tool
• Setting definite and realistic debt collection targets
• Comparing your debt collection results to your initial objectives
• Analyzing the return-on-investment of your debt collection activities

Module 3:
Planning and preparing for effective debt collection
• Classifying your debtors to enable a well-targeted approach Understanding the essential elements of debt collection correspondence
• Paraphrasing the "pay up or else" threat in a more effective and customer friendly fashion
• Acquiring essential skills for compiling debt collection letters, telegrams, e-mails and faxes
• Addressing your correspondence to the correct person to guarantee results
• Using the debtors classification to analyze the potential risk each debtor poses to your company
• Drawing up a collection checklist to facilitate systematic collections
• Making use of a customer card system as a comprehensive record of all debtors' histories
• How do you decide whether to collect the debt by telephone or by letter?

Module 4:
Ensuring the success of your debt collection correspondence
• Understanding the essential elements of debt collection correspondence
• Paraphrasing the "pay up or else" threat in a more effective and customer friendly fashion
• Acquiring essential skills for compiling debt collection letters, telegrams, e-mails and faxes
• Addressing your correspondence to the correct person to guarantee results

Module 5:
Essential telephone techniques
• Ensuring that you are sufficiently prepared before dialing the debtor
• Understanding professional telephone procedure
• Dealing with angry customers and excuses
• Overcoming personal and company objectives
• Turning promises into commitments to pay
• Using agreed payment dates and reminders to ensure that the debt is paid
• Learning how to close calls amicably
VISIT OUR WEBSITE FOR MORE DETAILS

How to participate
Individual Registration

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• ICT for Disaster Response
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View our Course Catalogue in the ICT institute
For further inquiries, please contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to Fine Results Research Limited bank before C.O.B 09th/09/2019. Send proof of payment through the email: mailto:training@fineresultsresearch.org

EVENT: Flood Disaster Risk Management in Changing Climate

Venue: FineResults Research Services, Nairobi, Kenya

Date: 7th -11th October 2019

Event Fee: USD 800

ABOUT US

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

VISIT OUR WEBSITE FOR MORE DETAILS

How to participate
Individual Registration

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For further inquiries, please contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: +254 732 776 700 or Email: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to Fine Results Research Limited bank before C.O.B 30th/09/2019. Send proof of payment through the email: mailto:training@fineresultsresearch.org

Dear All,
RE:GIS and Remote Sensing in Disaster Risk Management Course

Fineresults Research Services would like to invite you to a high impact Training Course in GIS and Remote Sensing in Disaster Risk Management Course to be held in Nairobi, Kenya from 18th to 22nd November 2019.

Event Information
Course Name: GIS and Remote Sensing in Disaster Risk Management Course

Venue: FineResults Research, Nairobi, Kenya

Event Date: 18th November to 22nd November 2019

Course Fee: KES 65,000 OR USD 800

Registration: Register online

Why Fineresults, Research, Services?
FineResults, Research, Services Ltd offers training solutions to individuals, communities, governments and civil society organizations, both local and international.
We also provide application-oriented and field-based consultancy services in all aspects of research and evaluations from inception to completion. This includes research designs, designing monitoring and evaluations systems, technical reviews, programme evaluations, questionnaire validation, data collection, data capture, data analysis and report writing. FineResults, Research, Services Ltd is a company incorporated under the laws of Kenya. Its head office is in Nairobi Kenya.

This course is suitable for people working in:
The course is targeted at professionals who require knowledge and skills on the use of GIS and RS in their organization in the field of disaster management. Participants are welcome from a broad range of organizations including physical planning, institutions, professionals and private GIS and RS related firms.

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.
For this, there is a significant need to create awareness among the disaster management professionals regarding the importance of GIS and Remote Sensing.
This course is job oriented and aims to impact practical skills on how to use GIS and RS ,to overcome the major challenges faced in ,pre-disasters during disaster and post-disaster management such as during early warning, hazard, vulnerability and risk assessment, damage assessment, as well as in the design of risk reduction measures.

Who should attend?
The course is targeted at professionals who require knowledge and skills on the use of GIS and RS in their organization in the field of disaster management. Participants are welcome from a broad range of organizations including physical planning, institutions, professionals and private GIS and RS related firms.
Requirements
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.

Duration
5 days.

Course 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

Topics to be covered
• Introduction
• GIS data sources, data collection and integration techniques for DRM
• Hazard, vulnerability and Risk assessment with GIS and RS (Pre-Disaster)
• Application of Risk Information for Risk Reduction Planning (Pre-Disaster)
• Introduction to Early warning systems and Information Networks (Pre-Disaster)
• Disaster Impact Analysis (Post Disaster)
• Public Participatory GIS and Disaster Risk Management (Pre and Post Disaster)

Methodology
This instructor led training course is delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in this field.
All facilitation and course materials will be offered in English. Participants should be reasonably proficient in English.

How to register
To register online, click: Register to Attend
To View course, click: HERE
To View our Website, click: HERE

Accommodation
Accommodation is arranged upon request. For reservations contact us through Mobile: +254732776700
Or Email: training@fineresultsresearch.org

Training Fee
The course fee is KES 65,000.00 or USD 800.00 exclusive of VAT. The course fees covers the course tuition, training materials, two (2) break refreshments, lunch and study visits. Participants will cater for their travel and accommodation costs.
Organizations who send more than three participants automatically qualify for a 10% discount.

Contact information
Tel:+254732776700Emailtraining@fineresultsresearch.org:Website: www.fineresultsresearch.org