Python Data Analysis Roadmap
Master Python basics and data processing tools, then complete the full workflow from data ingestion to visualization.
Applicable to:Transitioning to Data from ScratchCycle:about 10 weeks4stage
Phase Planning
Getting Started: Languages and Tools
Can independently set up the environment and run scripts.
- Syntax and Data Structures
- Virtual Environments and Dependency Management
- Function and Module Split
Basics: Data Processing
Clean and analyze structured data
- Array and Table Operations
- Handling Missing Values and Outliers
- Group by
Advanced: Analysis & Presentation
Generate clear charts and reports with actionable insights
- Select common chart types
- Using the Visualization Library
- Export and Share Results
Hands-on: End-to-End Case Study
Complete a full data analysis project
- Problem Decomposition
- Indicator Design
- Conclusion
Companion tutorials and code samples
If you encounter specific issues during the phase rollout, feel free to return here to review the relevant content.