Materails for industry introduction to statistics workshop.
- The slide deck is in the main folder or can be downloaded from here.
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Section 1: Interactive introduction to R here.
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Section 2: Interactive introduction to the tidyverse here.
- Section 1 and 2 recap: R code lives here here
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Section 3: Interactive introduction to data cleaning here.
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Section 4: Files for hypothesis testing and simple linear regression here.
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Section 5: Dashboard here.
- Example Dashboard: Turning R code into an interactive dashboard here.
- Online IDE for R here.
- You can download R from here.
- RStudios is a powerful IDE for R here.
- ggplot function references here.
- An extensive introduction to ggplot2 here.
- Free online cook book for getting started with R here.
- Free online version of R for Data Science by Garrett Grolemund and Hadley Wickham here.
- Free online version of Text Mining with R by Julia Silge and David Robinson here.
- Free online version of R Cookbook by James (JD) Long and Paul Teetor here.
- Free version of The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani and Jerome Friedman here.
- Free version of Computer Age Statistical Inference by Trevor Hastie and Bradley Efron here.