Course Overview
A project-based course designed to demystify data and empower students. This track focuses on the practical journey of data: from acquiring and cleaning messy datasets to performing statistical summaries and building visual dashboards.
Key Outcome
Students will be able to take a raw dataset, clean it, analyze it for trends, and present their findings visually to guide strategic business decisions.
Fees
Fees
| Level | Amount | Duration |
|---|---|---|
| One | on-One - Beginner: K1000 | 4 Weeks |
| One | on-One - Intermediate: K1350 | 6 Weeks |
| One | on-One - Advanced: K1650 | 8 Weeks |
| Group | Beginner: K500 | 4 Weeks |
| Group | Intermediate: K750 | 6 Weeks |
| Group | Advanced: K950 | 8 Weeks |
Levels & Progression
Beginner
Focuses on data literacy, importing raw data, identifying and cleaning messy datasets (handling duplicates/missing values), and generating basic descriptive charts.
Intermediate
Introduces relational data, fundamental SQL queries, trend analysis, and building interactive visual dashboards using tools like Advanced Excel or basic PowerBI.
Advanced
Explores predictive modeling concepts, advanced statistical summarization, and using data storytelling techniques to present actionable insights to high-level stakeholders.