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Data Science Career Roadmap 2026: Portfolio, GitHub & Getting Hired | Data Science Course (18/18)

The final chapter: tell a clear data story, share your work with a README and GitHub, learn the four data careers and follow a 90-day plan to get started. Chapter 18 of 18 in Data Science for Beginners 2026, a free full course from PM Techhub. IN THIS VIDEO • Data storytelling: answer first • README, GitHub and portfolios • Analyst, scientist, ML engineer, data engineer • Your next 90 days THE FULL COURSE (watch in order) 1. What Is Data Science 2. Python Basics 3. Lists, Dictionaries and Files 4. NumPy 5. Pandas 6. Data Cleaning 7. Data Visualization 8. SQL 9. Statistics 10. Probability 11. Exploratory Data Analysis 12. Hypothesis Testing and A/B Tests 13. Machine Learning Concepts 14. Regression 15. Classification 16. Clustering 17. Capstone Project 18. Storytelling and Careers Every chapter runs real Python code on one story: Sam's coffee shops, Bean Street Coffee. You get quick-check quizzes and a try-it-yourself task in every video. That's the full course. Congratulations! Subscribe to PM Techhub so you do not miss the next chapter. #DataScience #Python #DataScienceForBeginners

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