Virtual Classes

Gain Job-Ready Data Analysis & Professional Skills

Learn data analysis from industry experts—gain hands-on skills in Excel, SQL, Python, and data visualization to prepare for real-world roles.

Descriptions

This Data Analysis Bootcamp is designed to help you build job-ready skills and launch or grow your career in data. Through interactive live sessions, you’ll learn how to collect, clean, analyze, and visualize data using tools like Excel, SQL, Python, and Tableau.
No previous data experience? No problem. You'll be guided step by step through real-world projects, receive personalized feedback, and build a professional portfolio that showcases your ability to work with real datasets—just like you would on the job.

Key Points

Frequently Asked Questions (FAQs)❓

This is a 100% live course delivered by expert instructors. You’ll attend sessions in real time and can ask questions, get feedback, and participate in discussions.

No prior experience is required. We start from the basics and build up your skills in Excel, SQL, Python, and data visualization tools.

All live sessions are recorded and shared with you, so you can catch up on your own schedule.

You’ll work with Microsoft Excel, SQL (via PostgreSQL or BigQuery), Python (using Jupyter Notebooks), and Tableau or Power BI for dashboards.

Yes. This course is designed to give you the practical, hands-on skills needed for entry-level roles like Data Analyst, Junior Data Scientist, or Business Analyst. You’ll also complete a capstone project for your portfolio.

This course includes:

What they say about us

Nkiru E.
Nkiru E.
Data Analysis Graduate
I thought data was boring until I took this course. Now I see patterns and insights that drive business growth.
Musa D.
Musa D.
Data Analysis Graduate
Power BI and SQL sounded intimidating before. KYAfrica’s approach was clear, practical, and powerful.
Zubeida H.
Zubeida H.
Data Analysis Graduate
I'm now confident in Excel, Python, and dashboards. I even built a project that got me a remote internship.