All Courses

All Courses

Our courses can be taken individually or as a whole comprehensive course.

Python Programming Fundamentals

Start with the basics of Python, a versatile and powerful programming language. Master syntax, data structures, algorithms, and essential programming concepts.

Python Basics DSA Functions OOP
Duration 4 weeks
Level Beginner
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Version Control with Git & GitHub

Master version control with Git and collaborate effectively using GitHub. Learn branching, merging, pull requests, and modern development workflows.

Version Control Collaboration Branching Pull Requests
Duration 2 weeks
Level Beginner
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SQL for Data Analysis

Learn to query, manipulate, and analyze data using SQL. Master joins, aggregations, subqueries, and database management for data-driven insights.

Queries Joins Aggregations Subqueries
Duration 3 weeks
Level Beginner
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Data Analysis & Visualization with Python

Explore data analysis using NumPy, Pandas, and Matplotlib. Learn to clean, transform, visualize, and extract actionable insights from real-world datasets.

NumPy Pandas Matplotlib Data Cleaning
Duration 5 weeks
Level Intermediate
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Mathematics & Statistics for Data Science

Build a strong mathematical foundation for data science. Master statistics, probability, hypothesis testing, linear algebra, and essential calculus concepts.

Statistics Probability Linear Algebra Hypothesis Testing
Duration 6 weeks
Level Intermediate
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Machine Learning with Python

Discover machine learning principles and gain hands-on experience with scikit-learn. Build, evaluate, and optimize predictive models for real-world problems.

Scikit-learn Algorithms Model Evaluation Hyperparameter Tuning
Duration 6 weeks
Level Advanced
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Time Series Analysis

Learn time series analysis and forecasting techniques. Master ARIMA, seasonal decomposition, trend analysis, and advanced forecasting methods for temporal data.

ARIMA Forecasting Seasonality Trends
Duration 4 weeks
Level Intermediate
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Deep Learning with PyTorch

Master neural networks and deep learning architectures using PyTorch. Build CNNs, implement gradient descent, and create cutting-edge AI models.

PyTorch Neural Networks CNNs Deep Learning
Duration 8 weeks
Level Advanced
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Alumni Success

Our Alumni Have Worked With

Our graduates and partners have gone on to work with leading organizations across East Africa and beyond.

Why Choose Our Courses?

Our comprehensive approach ensures you gain practical, job-ready skills

Hands-On Learning

Each module is designed with practical exercises and real-world projects to ensure you can apply what you've learned.

Flexible Learning Path

Choose to follow the entire course or focus on specific modules that meet your individual learning goals.

Expert Guidance

Gain insights from industry professionals who are passionate about data science and dedicated to your success.

Last Updated: November 5, 2025 | Author: Juma Shafara