Internal session of Splunk Shanghai for introduction of Data Science

1. Data Science
Introduction
Gang Tao

2. What is Data Science

4. Data Science Flow

5. Statistics and
Probability

6. Admit Gender Dept Freq
Admi.ed Male A 512
Rejected Male A 313
Admi.ed Female A 89
Rejected Female A 19
Admi.ed Male B 353
Rejected Male B 207
Admi.ed Female B 17
Rejected Female B 8
Admi.ed Male C 120
Rejected Male C 205
Admi.ed Female C 202
Rejected Female C 391
Admi.ed Male D 138
Rejected Male D 279
Admi.ed Female D 131
Rejected Female D 244
Admi.ed Male E 53
Rejected Male E 138
Admi.ed Female E 94
Rejected Female E 299
Admi.ed Male F 22
Rejected Male F 351
Admi.ed Female F 24
Rejected Female F 317
56%
44%
acceptec rejected
65%
35%
Men
Women

7. Simpsons Paradox

8. 45%
16%
18%
11%

9. Machine Learning

10. Data Mining or
Machine Learning

13. Key Tools
• Classification
• Regression
• Cluster
• Data Reduction

14. Classification and Regression

15. Cluster

16. Data Reduction

17. Process of ML

18. Understand Data

22. Data Scientist

23. What is Data Scientist
• Know which question to ask
• Understand the data
• Know how to interpret the data
• Works in a team

25. How to become a data
scientist ?

28. Data is Tricky