Data Analysis for Decision Making

By the end of this Magna Skills course, participants will be able to:

1. Grasp the fundamentals of data types, structures, and analysis workflows.

2. Use Excel and other tools to clean, visualize, and interpret data.

3. Apply basic statistical techniques to derive meaning from data sets.

4. Translate data insights into actionable recommendations.

5. Deliver data-backed reports and presentations confidently to stakeholders.

Module 1: Understanding the Power of Data

• Role of data in modern organizations

• Types and sources of data

• Ethical considerations in data use

Module 2: Collecting and Organizing Data

• Designing effective data collection tools

• Data entry protocols

• Ensuring data quality and accuracy

Module 3: Descriptive Statistics Made Simple

• Averages, percentages, and data distributions

• Identifying trends and patterns

Module 4: Excel for Everyday Analysis

• Using formulas and functions for quick analysis

• Pivot tables and charts

• Automating reports

Module 5: Data Visualization for Impact

• Visual storytelling with charts and dashboards

• Best practices in presenting data

Module 6: Using SPSS / Power BI (Intro Module)

• Getting started with analytical software

• Importing, analyzing, and exporting data

Module 7: Inferential Thinking

• Sampling, correlations, and hypothesis testing

• Interpreting statistical outputs

Module 8: Data in Action – Case Studies from Africa

• Real-world analysis in development and policy contexts

• Data challenges and solutions

Module 9: Reporting and Communicating Insights

• Writing brief data summaries

• Presenting insights to decision-makers

Module 10: Capstone Practical Project

• Participants complete a mini data analysis project using a selected dataset

• Final presentation and peer review

• Researchers
• Data Collectors
• Research Analysts
• HODs
• Clinicians
• Programme Managers
• Inspectors
• Database Managers
• Market Researchers
• Clinical and Medical researchers
• Scientists