Details

Data analysis and interpretation are critical aspects of evidence-based policy decision-making. For data to be valid, it must be correctly processed, analyzed, and interpreted to aid evidence-based decision-making.

This course is designed to equip and build the capacity of planning and research officers to apply various techniques for data analysis and interpretation.

Learning objectives 

At the end of this course, participants will be able to:

• Discuss the importance of data analysis and interpretation for policy-making;
• Describe the processes involved in preparing data for analysis;
• Identify the method of data analysis and interpretation;
• Apply relevant methods in data analysis; and
• Interpret the analyzed data and its implications for policymaking.

Program Content

• Framework for data analysis and interpretation
• Data editing/coding, Capture/entry, and cleaning
• Data analysis for planning
• Testing data reliability and validity
• Data Organisation and Mining
• A statistical estimation of data: Techniques of data analysis and interpretation
• Evidence-based decision Making
• Tabulation plan and reporting
• ICT Application for data analysis using E-VIEWS, Stat, MS-Excel and SPSS, SPSS, E-View, Grelt Software, Python

Methodology

Lecture, exercises, and hands-on. Audio-visual aids will be used to enhance learning.

Target Audience

Researchers, Econometricians, Academics, and analysts in all fields of economic applications, including business management, financial markets, socioeconomics and health, development economics, public finance, and tax policy, as well as international trade and finance from public and private sectors.

Mode Of Assessment For Certification: 100 percent attendance/active participation.