Data Science 101

Transcript

1. Data Science 101 @raghothams

2. Data Science?

3. Machine Learning Deep Learning AI Data Science?

4. Machine Learning Deep Learning AI Data Science? AI

5. Machine Learning Deep Learning AI Data Science? AI Machine Learning

6. Machine Learning Deep Learning AI Data Science? AI Machine Learning

   Deep Learning
7. None
8. None

9. Aug 1989

10. Data Science? Business Context

11. Data Science? Descriptive Business Context

12. Data Science? Descriptive Inferential Business Context

13. Data Science? Descriptive Inferential Predictive Business Context

14. Descriptive Reporting / Dashboard

15. Descriptive What is the number of room nights for Treebo

    cartier? Reporting / Dashboard

16. Inferential Hypothesis driven

17. Inferential Why is conversion rate on direct unusually low? •

    High selling price? Hypothesis driven

18. Predictive Machine Learning

19. Predictive What will be the occupancy tomorrow? Machine Learning

20. None

21. What will be the occupancy tomorrow?

22. Uber Pool | Ola Share

23. Uber Pool | Ola Share • Booking requests

24. Uber Pool | Ola Share • Booking requests • Drivers

25. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods

26. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time

27. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue

28. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue • Less Congestion

29. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue • Less Congestion

30. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue • Less Congestion Dynamic Neighbourhoods

31. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue • Less Congestion Dynamic Neighbourhoods Clustering dbscan

32. Uber Pool | Ola Share • Booking requests • Drivers

    • Neighbourhoods • Lesser Fare | travel Time • More Revenue • Less Congestion Dynamic Neighbourhoods Clustering dbscan

33. Data Science.

34. Data Science. Data Engineering!

35. None

36. Fin.

37. Share Matching Algo - https://engineering.grab.com/the-data-and-science-behind-grabshare-part-i Hacker Ways to Learn Data

    Science 1. Stats for Hackers https://www.youtube.com/watch?v=Iq9DzN6mvYA 2. HackerMath https://github.com/amitkaps/hackermath Image Credits: 1. https://github.com/amitkaps/bootstrap-data-science/ 2. https://scikit-learn.org/