BestsellerPopular

Python for Data Science & Machine Learning

Learn Python programming, data analysis with Pandas, machine learning with scikit-learn, and deep learning with TensorFlow.

4.9
(1,567 ratings)
9,200 students

Created by Dr. Chinedu Eze

Last updated March 2026EnglishIntermediate
₦400,000₦580,00031% off

58h

Video content

20

Articles

35

Resources

Yes

Certificate

What you'll learn

Write clean, efficient Python code for data analysis
Manipulate and analyze data with Pandas and NumPy
Create stunning visualizations with Matplotlib and Seaborn
Build and evaluate machine learning models with scikit-learn
Implement deep learning with TensorFlow and Keras
Handle real-world messy data and feature engineering
Deploy ML models as REST APIs
Understand statistical concepts for data science

Course Content

5 sections • 23 lectures • 16h total length

5 sections • 23 lectures • 16h 19m total length

  • Python Setup & EnvironmentPreview15:00
  • Variables, Types & Control Flow42:30
  • Functions & OOP in Python55:20
  • Working with Files & APIs38:15
  • NumPy Arrays & Operations40:00
  • Pandas DataFrames Deep Dive58:30
  • Data Cleaning & Preprocessing52:15
  • Exploratory Data Analysis45:40
  • Time Series Analysis35:20
  • Matplotlib Fundamentals35:00
  • Seaborn Statistical Plots42:20
  • Interactive Dashboards with Plotly48:30
  • Storytelling with Data25:00
  • ML Fundamentals & Workflow38:00
  • Regression Models52:30
  • Classification Algorithms58:20
  • Ensemble Methods & Random Forests45:15
  • Model Evaluation & Tuning40:00
  • Neural Networks with TensorFlow55:00
  • Convolutional Neural Networks48:30
  • Natural Language Processing52:20
  • Model Deployment with Flask35:40
  • Capstone Project20:00

Requirements

  • No prior programming experience required
  • Basic mathematics (algebra level)
  • A computer with at least 8GB RAM
  • Curiosity about data and problem solving

Description

Data science is transforming industries across Africa. This course takes you from Python basics to building machine learning models that solve real business problems.

You will work with real datasets including Nigerian economic data, health records, and financial data. The course covers the complete data science workflow from data collection and cleaning to model deployment.

Skill levelIntermediate
Duration7 months
LanguageEnglish
CertificateIncluded
Last updatedMarch 2026

Instructor

CE

Dr. Chinedu Eze

Data Scientist & AI Researcher

4.9 Instructor rating21,000 students6 courses1,567 reviews

Dr. Chinedu holds a PhD in Computer Science from the University of Lagos and has worked as a data scientist at leading tech companies. He specializes in applying machine learning to African economic and health data.

Student Reviews

4.9
Course Rating
5
68%
4
22%
3
6%
2
3%
1
1%
TB

Tunde Bakare

5 days ago

Dr. Chinedu is an exceptional teacher. He makes complex ML concepts accessible. The Nigerian datasets used in the course made learning so much more engaging.

Was this helpful?
AY

Aisha Yusuf

2 weeks ago

I transitioned from accounting to data science thanks to this course. The hands-on projects gave me a portfolio that landed me my first data analyst role.

Was this helpful?
SO

Samuel Obi

1 month ago

Comprehensive and well-paced. The deep learning section is particularly strong. Would love to see more content on MLOps in the future.

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Frequently Asked Questions

Once enrolled, you have lifetime access to the course materials, including any future updates. Learn at your own pace with no time restrictions or deadlines.

Yes! Upon completing all course modules and assignments, you will receive a verifiable certificate of completion from TecTerminal that you can add to your CV and LinkedIn profile.

We offer a 30-day money-back guarantee. If the course does not meet your expectations within the first 30 days of purchase, you can request a full refund -- no questions asked.

Each course clearly states its prerequisites and recommended experience level. Beginner courses require no prior knowledge, while Intermediate and Advanced courses may require foundational skills. Check the Requirements section for specifics.

Yes, all downloadable resources including project files, cheat sheets, and supplementary materials are available for offline use. Video content is available for streaming only.

Absolutely. Our instructors regularly update course content to reflect the latest industry standards, tools, and best practices. You will always have access to the most current material.

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