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Table of Contents 📖

1. Introduction

1.1 What is this guide?

1.2 Why did I make this guide?

1.3 Who am I?

1.4 What do I do?

1.5 How is this guide structured?

1.6 How to use this guide

2. Explanation of tools

3. Basic Python

3.1 Resources

3.2 My Perspective

3.3 How to Practice

4. Pandas

4.1 Resources

4.2 My Perspective

4.3 How to Practice

5. Visualization

5.1 Resources

5.2 My Perspective

5.3 How to Practice

6. Webscraping

6.1 Resources

6.2 My Perspective

6.3 How to Practice

7. Machine Learning

7.1 Resources

7.2 My Perspective

7.3 How to Practice

8. SQL

8.1 Resources

8.2 My Perspective

8.3 How to Practice

9. Statistics

9.1 Resources

9.2 My Perspective

10. Portfolio Building

10.1 Project Inspiration

10.2 Data Sources

10.3 Data Hackathons

10.4 Data-driven Articles

10.5 Research Papers

10.6 Notebook Projects

10.7 Tutorials / Guides

10.8 Data Collection Pipelines

10.9 Dashboards / Visualizations

10.10 Web Applications

10.11 Python Libraries

11. Newsletters

12. Productivity

12.1 Calendar + Email

12.2 Task Management

12.3 Notes / Knowledge Management

13. Interview Prep

14. Conclusion