Data Management, Analysis and Visualization for Agriculture, and Rural Development Course

Date Format Fees  
25 Mar - 28 Mar, 2024 Classroom ₦350,000 Register
13 Aug - 16 Aug, 2024 Classroom ₦350,000 Register
19 Nov - 22 Nov, 2024 Classroom ₦350,000 Register
25 Mar - 28 Mar, 2024 Classroom ₦350,000 Register

Event Details

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, analyze and visualize data for impact assessment

 

COURSE

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 operationalizing M&E frameworks

• Linking M&E frameworks to indicators

• Logical framework approach to the monitoring and evaluation of agricultural and rural development projects

 

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

 

Data collection, management and data quality

• Data collection methods: How to undertake data collection (quantitative and qualitative)

• Data collection, cleaning and analysis

• Descriptive analysis techniques

• Inferential analysis techniques

 

Introduction to qualitative data Analysis

• Planning for qualitative data analysis

• Reviewing the data

• Organizing your data

• Coding the data

• Introduction to using qualitative data analysis software

 

Quantitative data Analysis

• 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

 

TRAINING METHODOLOGY

The training methodology combines lectures, discussions, group exercises and illustrations. Participants will gain both theoretical and practical knowledge of the topics. The emphasis is on the practical application of the topics and as a result participant will go back to the workplace with both the ability and the confidence to apply the techniques learned to their duties.

  • Venue

    Alpha Partners Professional Training Conference Centre. 200, Muritala Mohammed Way (3rd Floor), Yaba Lagos.

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