Data Management Analysis and Visualization for Agriculture and Rural Development Programmes

Course Date Onsite fees: Location Register
29/07/2024 To 02/08/2024 1,000 USD, 90,000 Ksh Nairobi
28/10/2024 To 01/11/2024 1,000 USD, 90,000 Ksh Nairobi


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.


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





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/+254759285295 or Email:  


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


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


·        Accommodation is arranged upon request. For reservations contact us through

·        Mobile: +254732776700 / 254759285295

or Email: 

Call us on +254 732 776 700/ +254 759 285 295
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