Data Science
Data Science with Python & Machine Learning
Go from raw data to production-ready machine learning models. Learn Python, pandas, scikit-learn, and real-world data storytelling.
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Last updated May 2026
English
What You'll Learn
Requirements
- No prior programming experience required
- Basic mathematics (algebra and statistics helpful)
- A computer with internet access
Course Description
<p>This hands-on data science bootcamp takes you from Python fundamentals to building and deploying machine learning models. You will work on real Nigerian datasets and business problems throughout the course.</p><p>By the end, you will be able to clean and analyse data, build predictive models, create compelling visualisations, and communicate insights to non-technical stakeholders.</p>
Course Curriculum
12 lessons ·
100h total
Python Crash Course: Variables, Data Types & Control Flow
30m
Functions, List Comprehensions & File Handling
25m
NumPy: Fast Numerical Computing
35m
Pandas: DataFrames, Indexing & Data Cleaning
40m
Exploratory Data Analysis (EDA) Workflow
35m
Data Visualisation with Matplotlib & Seaborn
30m
Statistical Analysis: Distributions, Hypothesis Testing
40m
Storytelling with Data: Building Dashboards
25m
Supervised Learning: Regression & Classification
45m
Model Evaluation, Cross-Validation & Hyperparameter Tuning
35m
Unsupervised Learning: Clustering & Dimensionality Reduction
30m
Capstone: End-to-End ML Project from Kaggle Dataset
45m
Your Instructor
Senior Cybersecurity Instructor
Chidi Ezinwa is a seasoned cybersecurity professional with over a decade of experience in penetration testing, red team operations, and security training. He has trained hundreds of security professionals across Nigeria and West Africa.
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NGN 120,000
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This course includes:
- 100 hours of content
- 12 lessons
- Online learning
- Intermediate level
- Certificate of completion
- Lifetime access
Who is this course for?
- Business analysts who want to add data science skills
- Graduates seeking careers in data and analytics
- Professionals looking to make data-driven decisions