Intermediate
Data Science
Statistical Analysis with Python
Unlock your potential with this carefully crafted course on Statistical Analysis with Python. We've distilled years of industry experience into actionable lessons that you can apply immediately.
This course covers both theoretical foundations and practical applications. Each module builds on the previous one, ensuring a smooth learning journey.
Perfect for self-learners and professionals seeking to expand their skillset in the growing African tech ecosystem.
Course Syllabus
Week 1: Introduction & Setup
- Lesson 1: Set up Python for data work Preview 14min
- Lesson 2: Jupyter notebooks and workflows Preview 13min
- Lesson 3: NumPy arrays and vectorization 21min
- Lesson 4: Load datasets with Pandas 10min
Week 2: Core Concepts
- Lesson 1: Data science project workflow 21min
- Lesson 2: Visualize insights with charts 12min
- Lesson 3: Feature engineering basics 23min
- Lesson 4: Train a simple predictive model 18min
Week 3: Hands-On Practice
- Lesson 1: Data science project workflow 24min
- Lesson 2: Visualize insights with charts 14min
- Lesson 3: Feature engineering basics 12min
- Lesson 4: Train a simple predictive model 18min
Week 4: Intermediate Techniques
- Lesson 1: Data science project workflow 21min
- Lesson 2: Visualize insights with charts 20min
- Lesson 3: Feature engineering basics 19min