Data Science Introduction

Internal session for data science introduction

Transcript

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