Task 4: Data Analysis of SayPro’s Curriculum Impact

1. Define Objectives

• Identify key academic outcomes and skills impacted by SayPro’s curriculum.
• Establish measurable indicators of improvement.
• Determine correlations between curriculum engagement and performance outcomes.

2. Data Collection

• Gather pre- and post-program academic performance data.
• Collect feedback and skill assessment reports from participants.
• Obtain records of curriculum participation (e.g., attendance, completion rates, engagement levels).

3. Data Cleaning & Preparation

• Standardize and categorize data (academic scores, skill ratings, attendance).
• Handle missing or inconsistent data.
• Convert qualitative feedback into measurable insights where possible.

4. Correlation Analysis

• Use statistical tools (e.g., Pearson correlation, regression analysis) to identify relationships.
• Compare curriculum modules with improvements in test scores, employability skills, or personal development.
• Identify patterns or trends that indicate positive or negative correlations.

5. Visualization & Reporting

• Use graphs, charts, and tables to present findings.
• Highlight key correlations and trends.
• Provide data-backed recommendations for curriculum improvements.

6. Conclusion & Recommendations

• Summarize findings on curriculum effectiveness.
• Suggest enhancements to strengthen impact.
• Propose further research or pilot studies if needed.