Statistics for Data Analysis Professional Certificate

Statistics for Data Analysis is a practical, beginner-to-intermediate course in the statistical thinking behind every good data decision. You will learn how to describe data honestly, reason with probability, move from a sample to conclusions about a whole population, test ideas with confidence intervals and hypothesis tests, and measure relationships with correlation and regression.

Every module uses realistic examples from education, health, agriculture, business and NGO work in East Africa, and every lesson pairs clear written teaching with carefully chosen videos from respected statistics educators. You will practise in free tools you can use on any laptop: Google Sheets throughout, with optional Python in Google Colab for learners who want to go further.

No previous statistics or programming experience is required. If you can use a spreadsheet and are comfortable with basic arithmetic, you are ready. The course is the recommended starting point for our Data & AI series, including Machine Learning Fundamentals and Power BI for Business Reporting.

How the course works: six modules, 23 lessons with more than 40 video explanations, a quiz after every module, a capstone project analysing a real-style dataset from start to finish, and a final certification examination. Study at your own pace; most learners finish in 6 to 8 weeks at 4 to 5 hours per week.