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Python For Data Analytics

Unlock powerful insights with Python.

Format

Both in Person & Online

Duration

2 Weeks (weekends only)

Course Fee

50000 Rwf

Start Date

February 7, 2026

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What you will learn

Learn how to use Python for data analysis, including working with datasets, performing calculations, and creating visualizations using key libraries like Pandas and NumPy.

This course introduces Python as a powerful tool for modern data analysis. Starting from the basics of programming, participants progressively learn how to use Python libraries for data cleaning, manipulation, visualization, and statistical analysis. The course emphasizes hands-on learning using real datasets, ensuring participants understand how to apply Python in real professional contexts such as research, finance, and public health.

Applied Learning Project

Participants will complete a full data analytics project using Python. This involves importing raw data, cleaning and transforming it using Pandas, performing exploratory data analysis, creating visualizations, and generating insights. The final deliverable includes a well-documented Python script or notebook and a presentation summarizing findings and recommendations.

Tools

Python, Microsoft Excel.

More Information

  • Location: Muhabura Building at CST

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from California Institute of the Arts

Why people choose Dataplus for their career

The training was very practical and easy to follow. I immediately started applying the skills at work, especially dashboard reporting and data analysis.
Jean Claude M.
Business Analyst
I loved how the sessions focused on real-world projects instead of just theory. The trainers explained complex topics in a very simple way.
Aline U.
Monitoring & Evaluation Officer
Before DATA+, I only used Excel basics. Now I can build dashboards and analyze data with much more confidence.
Kevin N.
Finance Associate
The flexibility of the evening classes made it possible for me to learn while working full-time. One of the most valuable programs I’ve joined.
Operations Coordinator
Diane K.

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