Data Science 101

Introduction to Data Science at Treebo Hotels

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
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
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!
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/