Learn a complete data analytics workflow — spreadsheets, SQL, Python (pandas), statistics, data cleaning, exploratory analysis, visualization/dashboards, A/B testing, and AI-assisted analysis — ending in an end-to-end capstone analysis presented to a stakeholder audience.
Data analysts are hired by banks, fintechs, telecoms and agencies across Nigeria, and the same SQL, Python and dashboard skills open remote analyst roles with international companies paying in dollars. Freelance analysts also earn steadily on Upwork building reports and dashboards for small businesses who cannot justify a full time hire. Your capstone, a complete analysis presented to a stakeholder audience, becomes a real portfolio piece you can show in interviews from day one after graduating.
Professionals who already have basic spreadsheet familiarity and want to become a competent, job-ready data analyst, or analysts wanting to formalize and extend existing skills with SQL, Python, and statistics. This is the Advanced-tier course in the analytics/data catalog.
- Minimum age 16, comfortable using a computer and basic spreadsheet functions - A laptop able to run Python (setup covered in Module 6) - No prior SQL, Python, or formal statistics background required — this course builds each from the ground up before using it
Uko Hanson
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