PART 1: INTRODUCTION TO DATA SCIENCE
1 The Data Science Process - FREE
2 Starting with R and Data - AVAILABLE
3 Exploring Data - AVAILABLE
4 Managing Data - AVAILABLE
PART 2:MODELING METHODS
5 Using Memorization Methods
6 Linear and Logistic Regression
7 Using Unsupervised Methods
8 Exploring Advanced Methods
PART 3: RESULTS
9 Evaluating Models
10 Managing Models in Production
11 Building Successful Presentations
12 Presenting to different audiences
13 Deployment Documentation
14 Conclusion
APPENDICES:
A Working With R and other tools
B Important statistical concepts
C Transforming Problems and Data
D Further Reading