## Data Analysis (coursera)

Covered Topics:

## Links

### Notes

Data Analysis notes by Felix Y.H. Fan

- https://www.google.com/search?q=%3C%3C+Data+Analysis+%3E%3E+Note+site:rpubs.com
- Part 1: Representing Data, Exploratory Data Analysis, Cluster Analysis, Principal Component Analysis and Singular Value Decomposition
- Part 2: Clustering Example
- Part 3: Method of Least Squares and Linear Regression
- Part 4: Statistical Tests of Significance, $P$-values
- Part 5: Multivariate Linear Regression, regression with categorical variables
- Part 6: ANOVA, Logistic Regression, Poisson Regression, Model Checking, Model Selection
- Part 7: Cross-Validation, Error Metrics, predicting with linear regression and trees (decision trees)
- Part 8: Smoothing, (Lowess (loess) ), regression with splines
- Part 9: Bootstrap, Bagging (Bootstrap Aggregating), Ensemble Models (combining predictors), SVM
- Part 10: Multiple testing, family-wise error rate (FWER), false discovery rate (FDR), Simulation for model checking