Python for Data Science & Machine Learning Bootcamp
Learn Python for data science from scratch. Master NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, and build real machine learning models.
- 3.5
- 40 Reviews
- 14 weeks
- Duration
- 68
- Students Enrolled
- 245
- Lessons
One-time payment
68
3.5
14 weeks
245
Language
English
Last Updated
June 2026
What You'll Get
- Lifetime access to all 245 lessons
- Learn at your own pace, on any device
- Peer learning group access
- Mini projects and completion certificate
Course Overview
What You'll Learn
- Python programming fundamentals
- Data manipulation with Pandas
- Data visualization techniques
- Machine learning algorithms
- Real-world project implementation
Who This Course Is For
- Aspiring data scientists
- Analysts wanting to code
- Career changers
- Students
Course Syllabus
Optimising Performance
Refactoring the Core Loop
Reviewing the Pipeline
Introduction to Patterns
Building Components
Optimising Patterns
Debugging State
Optimising the Core Loop
Introduction to the Pipeline
Refactoring the Pipeline
Reviewing Components
Introduction to the Core Loop
Testing State
Working with Performance
Reviewing Performance
Debugging Patterns
Refactoring Patterns
Testing the Toolchain
Deploying the Final Project
Working with Performance
Reviewing the Data Layer
Deploying the Pipeline
Introduction to Performance
Debugging Components
Debugging the Data Layer
Building the Pipeline
Debugging the Core Loop
Optimising the Pipeline
Deploying the Toolchain
Debugging State
Testing the Toolchain
Reviewing the Data Layer
Introduction to Patterns
Testing the Pipeline
Reviewing Performance
Testing Edge Cases
Refactoring the Core Loop
Debugging Edge Cases
Building State
Introduction to the Pipeline
Testing the Pipeline
Refactoring Patterns
Debugging the Toolchain
Debugging Performance
Refactoring the Pipeline
Optimising Patterns
Introduction to State
Understanding the Pipeline
Building the Core Loop
Instructor
Alex Brown
Data Scientist
Frequently Asked Questions
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