Reference Books and material for Analytics

Website for practising R on Statistical conceptual Learning:

https://statlearning.com 



Reference Books & Materials:


1) Statistics by David Freedman

•   Observational Studies
•   Basic concepts of Hypothesis Testing

2) An Introduction to Categorical Data Analysis - Book by Alan Agresti

•  Contingency table
•  Chi square
•  Correlation for Categorical data
•  Odd ratio/Risk Ratio

3) Logistic Regression. A Self- Learning Text -Book by David Kleinbaum and M. Klein

• Logistics Regression

4) An Introduction to Statistical Learning - Textbook by Daniela Witten, Gareth James, Robert Tibshirani, and Trevor Hastie

• Different Non-parametric & Machine Learning Techniques
• KNN
• Decision Trees
• Regression Splines
• Cross Validation
• Discriminant Analysis.

5) The Elements of Statistical Learning - Book by Jerome H. Friedman, Robert Tibshirani, and Trevor Hastie

• Overview of Analytics
• Concepts of over fitting
•  Bias-variance Trade-off
•  Neural Network
•  Monte Carlo
•  Ensemble learning

6)  Survival analysis: a self-learning text  - by Kleinbaum & Klein
Applied survival analysis: regression modeling of time to event data - by Hosmer, Lemeshow & May

• Survival Analysis

7) Naïve Bayes classification, descriptive analysis, Introductory probability - discussion in this blog and other online materials.







Thanks
Learner