The attainment of growth and development objectives in any society or organization depends largely on the quality of decision-making. Quality data is ensured by effective data gathering techniques and proper analysis of such data with the right statistical tools.
This training workshop is designed to equip participants with the requisite knowledge and skills for analyzing data in decision-making.
At the end of the workshop, participants will be able to:
- Interpret descriptive statistics and tables
- Select an appropriate test of significance
- Collect, collate and analyze data
- Test formulated hypotheses using statistical tools
- Make inferences and draw valid conclusions from analysed data.
- Data analysis and decision-making: an overview
- Data gathering methods
- The role of research in national development
- Introduction to data analysis
- Introduction to micro computing (hardware and software)
- Application of MS-Access in data analysis
- Using relational data (Base I and II)
- MS-excel fundamentals
- Data and statistical analysis on excel
- Graphics on MS-excel
- Application of SPSS to data analysis
- Research Hypothesis, introduction to concepts
- Testing of research hypotheses using SPSS
- Inferential analysis using SPSS
- Introduction to e-views
- Application of e-views to data analysis
- Research findings and conclusion
- Decision making techniques
- Analytics, the future of analytical computing
- Using research findings for decision making
Methodology: Lectures, discussions, syndicate work, and case studies. Audio-visual aids will be used to reinforce learning.
Research and development officers, consultants, statisticians, lecturers, trainers and managers in the public and private sector organizations.
Mode of Assessment for Certification: 100 per cent attendance/active participation.
Contact Person: A. G. Odama