Find the insights hidden in your data with this data mining, pattern recognition and statistical analytics training using SPSS and Excel. The program takes professionals from data preparation to descriptive statistics, hypothesis testing, regression and clustering. Participants will learn to clean datasets, choose the right statistical test, spot patterns and trends and present results clearly. Through hands-on computer labs with real datasets, attendees will build practical analytical skills they can use immediately. This program is essential for researchers, analysts and M&E officers.
Objectives
- Prepare, clean and code data in SPSS and Excel
- Produce descriptive statistics and summary tables
- Visualize data with charts that reveal patterns
- Choose and run appropriate statistical tests
- Perform correlation and regression analysis
- Apply cluster and classification techniques to segment data
- Detect trends, outliers and anomalies
- Interpret statistical output correctly
- Report findings clearly for decision makers
Target Audience
- Data analysts and statisticians
- Researchers and research assistants
- Monitoring and evaluation officers
- Planning and economics officers
- Business intelligence staff
- Postgraduate students and academics
Methodology
- Hands-on SPSS and Excel labs
- Real dataset exercises
- Statistical test selection drills
- Pattern recognition case studies
- Output interpretation clinics
- Report writing practice
- Group analysis projects
