Course description

Course Overview

The Data Science course is designed to help students master how to collect, analyze, and interpret complex data to drive business and product decisions.
You’ll learn the full data science process — from data wrangling and exploratory analysis to building predictive models and communicating insights effectively.
This course combines statistics, programming, and practical projects, preparing you for in-demand roles in analytics, AI, and data-driven strategy across industries.

Learning Outcome

1. Understand the key concepts and lifecycle of data science, from data collection to model deployment.
2. Use tools such as Python, Pandas, NumPy, Matplotlib, and Jupyter Notebooks for data analysis and visualization.
3. Apply statistical and machine learning techniques to solve real-world problems.
4. Communicate findings effectively through visual storytelling and dashboards.

Career Opportunities

1. United States – $85,000 – $120,000 USD
2. United Kingdom – £50,000 – £75,000 GBP
3. Canada – $70,000 – $95,000 CAD
4. Germany – €55,000 – €80,000 EUR
5. Nigeria – ₦5.5 million – ₦9 million NGN
6. Kenya – KSh 2.2 million – KSh 3.8 million KES
7. Remote/Global Roles – $60,000 – $100,000 USD

Career Pathways

1. Data Scientist
2. Machine Learning Engineer
3. Data Analyst / Research Analyst
4. Business Intelligence Developer
5. AI Product Analyst

Download Course Curriculum

What will i learn?

• Python for Data Science
• Data Visualization & Statistics
• Introduction to Machine Learning
• SQL & Supervised Learning
• Decision Trees & Ensemble Learning
• Classification & Model Evaluation
• Feature Engineering & Hyperparameter Tuning
• Unsupervised Learning / Clustering
• Time Series Analysis
• Model Deployment with Streamlit
• Model Explainability & Ethics
• Capstone Project

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