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Data Management, Analysis And Visualization For Agriculture, And Rural Developme by FINERESULTS(m): 12:06pm On Apr 10, 2020 |
Dear all, RE: Data Management, Analysis and Visualization for Agriculture, and Rural Development Programmes FineResults Research Services would like to invite you to high impact training on Data Management, Analysis and Visualization for Agriculture, and Rural Development Programmes to be held in Nairobi from 07/12/2020 to 11/12/2020 COURSE PROFILE Course Name: Data Management, Analysis and Visualization for Agriculture, and Rural Development Programmes Date: 07/12/2020 to 11/12/2020 Duration: 5 Days Venue: FineResults Research Training Centre, Nairobi, Kenya Cost: USD 800 Online Registration: REGISTER HERE INTRODUCTION Agriculture sector have impact on number of sectors in the economy including manufacturing, health, education, wholesale and retail, transport, financial services among others. As a result, the agriculture data can go along way beyond the data requirements of the immediate agriculture sector. For farmers, data such as weather data, market price data, and agricultural inputs data can improve farmer productivity by addressing key constraints, providing knowledge and access to appropriate inputs, extension advice, weather warnings and market prices. Data on quantity of produce, seasonal variation in production and varieties of crops grown can inform other actors in other sectors such as manufacturing in planning on expected quantity of produce supply. It is therefore important to collect accurate and timely data from agriculture sector which will inform decision making in interlinked sectors. This 5 days course aims at equipping participants in data collection, management, analysis and interpretation of data in agriculture for decision making. 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 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 • Learn how to develop a logical framework • Identify the right research designs based on indicators in the logical framework • Learn how to collect, analyse and visualize data for impact assessment Course outline Module 1: Understanding monitoring and Evaluation principles • Definition of monitoring and Evaluation • Monitoring and Evaluation strategy • Qualitative and quantitative data sources collection and use • Relating Monitoring and evaluation to your project cycle • Including M&E in agriculture and rural development programme design Monitoring and evaluation strategy • Developing and operationalising M&E frameworks • Linking M&E frameworks to indicators • Logical framework approach to the monitoring and evaluation of agricultural and rural development projects Module 2: Performance monitoring • Tracking inputs and outputs • Tools for monitoring inputs and outputs Measuring results in Agriculture and RD programmes • Interpreting and communicating results for M&E • Communication and reporting for M&E Module 3: Data collection, management and data quality • Data collection methods: How to undertake data collection (quantitative and qualitative) using NVIVO and SPSS • Data collection, cleaning and analysis • Descriptive analysis techniques • Inferential analysis techniques Module 4: Introduction to qualitative data Analysis • Planning for qualitative data analysis • Reviewing the data • Organizing your data • Coding the data • Introduction to using a qualitative data analysis software (NVivo) Module 5: Quantitative data Analysis using SPSS or Stata or R • Planning for quantitative data analysis • Comparison of Data analysis packages • Basics for statistical analysis • Choosing the correct statistical test • Tests of statistical significance (Parametric and non-parametric tests) • Interpreting the data • Report writing ACCOMMODATION Accommodation is arranged upon request. For reservations contact us through Mobile: +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 CANCELLATION POLICY • All requests for cancellations must be received in writing. • Changes will become effective on the date of written confirmation being received. GENERAL NOTES • All our courses can be Tailor-made to participants needs • The participant must be conversant with English • Presentations are well guided, practical exercise, web based tutorials and group work. Our facilitators are expert with more than 10years of experience. • Upon completion of training the participant will be issued with FineResults Research Services certificate • Training will be done at FineResults Research Services center in Nairobi Kenya. We also offer more than five participants training at requested location within Kenya, more than ten participants within east Africa and more than twenty participants all over the world. • Course duration is flexible and the contents can be modified to fit any number of days. • The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance and other personal expenses. • One year free Consultation and Coaching provided after the course. • Register as a group of more than two and enjoy discount of (10% to 30%) plus free four hour adventure drive to the National game park, in Nairobi. Visit our website for more details How to participate Individual Registration Contact information Email: training@fineresultsresearch.org TEL: +254 759 285 295 Website: fineresultsresearch.org/training/ Visit our face book page Visit our linkedin page Visit our twitter account |
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