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An Introduction to Statistical Learning

As the scale and scope of data collection continue to increase across virtually all fields, statistical learning has become a critical toolkit for anyone who wishes to understand data. An Introduction to Statistical Learning provides a broad and less technical treatment of key topics in statistical learning. Each chapter includes an R lab. This book is appropriate for anyone who wishes to use contemporary tools for data analysis.

Created by Gareth James, Daniela Witten, Trevor Hastie, and Rob Tibshirani


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What you’ll learn


From this educational resource you will acquire the compentencies demanded by organizations these days. The most in demand technique from the educational opportunity that is often requested from organizations is Statistical Analysis. The most in demand tool is R.

Who will benefit?


Comparing material from this learning resource with nearly 10,000 data-related job maps, we determine that those interested in Data Scientist roles have the most to gain.