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Python for Data Analysis
Learn Python and use it to analyse real-world data confidently.
4.6 rating 18,500 learners 4 weeks Certificate included
Free
4 weeks of content
Access on mobile and desktop
Lifetime access after enrolment
Certificate of completion
Community access and peer learning
What you'll learn
Master Python fundamentals for data work.
Perform professional data manipulation with NumPy and Pandas.
Build publication-quality, insightful visualisations.
Apply all skills to complete, impactful data analysis projects.
Curriculum
1Week 1
Python Basics
5 lessons
Week 1
Python Basics
Python Data Types and Control Flow
Functions and Modules
File I/O and Error Handling
Week 1 Quiz
Assignment: Python Data Pipeline
2Week 2
NumPy and Pandas Mastery
5 lessons
Week 2
NumPy and Pandas Mastery
NumPy Arrays in Depth
Pandas Advanced Operations
Time Series with Pandas
Week 2 Quiz
Assignment: Advanced Data Analysis
3Week 3
Data Visualisation
5 lessons
Week 3
Data Visualisation
Matplotlib and Seaborn Mastery
Plotly: Interactive Visualisations
Streamlit: Data Apps
Week 3 Quiz
Assignment: Streamlit Dashboard
4Week 4
Real-World Projects
5 lessons
Week 4
Real-World Projects
End-to-End Analysis Project Framework
Statistical Analysis and Hypothesis Testing
Automation and Reproducibility
Week 4 Quiz
Assignment: Python Data Analysis Capstone
About this course
The fastest way to learn Python for practical data work. This free course gets you from zero to analysing real datasets using Python, Pandas, and visualisation libraries — no prior programming experience needed.
Requirements
- No programming experience needed
- A free Google Colab account (we'll set it up together)
- Curiosity and 5-6 hours per week
Who is this for
- Analysts and executives who work with spreadsheets
- Anyone who wants to automate repetitive data tasks
- Beginners who want a first programming skill
Free
4 weeks of expert content
Hands-on projects & assignments
Lifetime access
Certificate of completion
Mobile & desktop access