This category encompasses courses designed to equip learners with skills in data science, analytics, and statistical programming. Explore programming languages like R, Python, and tools for data visualization, machine learning, and predictive analytics. Whether you're a beginner or a professional, our courses provide practical knowledge to empower your data-driven decisions.

Python for Data Analysis

Use pandas, matplotlib, and real datasets to wrangle, clean, and visualize data. Strong foundation in Python.

Excel for Data Analysis

Learn data cleaning, formulas, pivot tables, and build basic dashboards using Excel. Ideal for beginners starting out in data analysis.

R for Statistical & Policy Analysis

Use R and ggplot2 for statistical modeling, policy analysis, and professional research reports.

SPSS for NGO & Academic Research

Analyze surveys, cross-tabs, and perform regressions. Tailored for researchers in academic or nonprofit settings.

Power BI for Business Reporting

Learn to create interactive dashboards from Excel/SQL data and tell data stories for business reporting.

SQL for Databases

Master SQL using PostgreSQL and MySQL. Learn real-world querying, filtering, joins, and relational database concepts.

Git & GitHub

Learn version control, branches, pull requests, and team collaboration with Git and GitHub.