Pandas and NumPy Essentials
By the end of this course, learners should be able to explain Lesson 1: Set up Python for data work
Master Pandas and NumPy Essentials with this in-depth training program designed for the African tech community. Whether you're just starting out or looking to level up your skills, this course provides everything you need.
You'll work on practical exercises that mirror real-world challenges faced by developers and tech professionals. Our step-by-step approach ensures you understand not just the 'how' but also the 'why'.
Join thousands of students who have transformed their careers through our courses.
What you will learn
- By the end of this course, learners should be able to explain Lesson 1: Set up Python for data work
- By the end of this course, learners should be able to explain Lesson 2: Jupyter notebooks and workflows
- By the end of this course, learners should be able to explain Lesson 3: NumPy arrays and vectorization
- By the end of this course, learners should be able to explain Lesson 1: Data science project workflow
- By the end of this course, learners should be able to explain Lesson 2: Visualize insights with charts
Skills you will develop
Data cleaning and validation · Python for analytics basics
Skills you’ll develop
Course completion demonstrates these skills. Verification requires assessment or reviewed challenge work.
What you will build and prove
- Practice: Practice: Lesson 1: Set up Python for data work
- Project: Apply Pandas and NumPy Essentials
- Quiz: Lesson 1: Set up Python for data work check (pass 70%)
- Final assessment: Pandas and NumPy Essentials — course assessment (pass 70%)
Course journey
How this free course is structured — watch, practise, and progress module by module.
- Introduction & Setup
- Core Concepts
- Hands-On Practice
- Intermediate Techniques
- Advanced Topics
- Real-World Projects
- Best Practices
Practice
1 optional practice exercise — apply what you learned. Practice is not required to complete the course.
Assessment
- Lesson 1: Set up Python for data work check · pass mark 70%
- Pandas and NumPy Essentials — course assessment · pass mark 70%
Prove
Course completion means finishing required lessons , and the course assessment . That grants a certificate of completion — not a professional certification. Optional practice does not block completion.
Curriculum
Week 1: Introduction & Setup
- Lesson 1: Set up Python for data work Preview Practice 14min
- Lesson 2: Jupyter notebooks and workflows Preview 13min
- Lesson 3: NumPy arrays and vectorization 11min
Week 2: Core Concepts
- Lesson 1: Data science project workflow 19min
- Lesson 2: Visualize insights with charts 19min
- Lesson 3: Feature engineering basics 9min
- Lesson 4: Train a simple predictive model 19min
- Lesson 5: Evaluate model quality 16min
Week 3: Hands-On Practice
- Lesson 1: Data science project workflow 19min
- Lesson 2: Visualize insights with charts 15min
- Lesson 3: Feature engineering basics 17min
- Lesson 4: Train a simple predictive model 20min
- Lesson 5: Evaluate model quality 22min
- Lesson 6: Communicate findings clearly 21min
Week 4: Intermediate Techniques
- Lesson 1: Data science project workflow 24min
- Lesson 2: Visualize insights with charts 22min
- Lesson 3: Feature engineering basics 9min
- Lesson 4: Train a simple predictive model 12min
- Lesson 5: Evaluate model quality 8min
Week 5: Advanced Topics
- Lesson 1: Data science project workflow 21min
- Lesson 2: Visualize insights with charts 14min
- Lesson 3: Feature engineering basics 25min
Week 6: Real-World Projects
- Lesson 1: Data science project workflow 13min
- Lesson 2: Visualize insights with charts 25min
- Lesson 3: Feature engineering basics 20min
- Lesson 4: Train a simple predictive model 13min
Week 7: Best Practices
- Lesson 1: Data science project workflow 9min
- Lesson 2: Visualize insights with charts 15min
- Lesson 3: Feature engineering basics 8min
- Lesson 4: Train a simple predictive model 21min
- Lesson 5: Evaluate model quality 17min
Free to enroll — no purchase required.
Instructor: Africoders
Start learning Already have an account? Sign in Course forum →