Publisher's Synopsis
Peter Bruce, Andrew Bruce 's Learn Statistics Method for Data Scientists Full Step By Step Guide- Statistical methods are a key part of data science, but very few data researchers have formal statistical training. Basic statistics courses and books rarely approach the subject from a data science perspective. This how-to guide explains how to apply different statistical methods in data science, tells you how to avoid abuse, and gives tips on important and unimportant issues. Many data science sources contain statistical methods but are lacking from a more in-depth statistical perspective. If you are familiar with the R programming language and have some knowledge of statistics, this quick guide will fill the gap in an accessible and readable format.Use this book to learn: Why is exploratory data analysis a key early stage in data science?How to reduce bias with random sampling and get a better quality dataset, even for big dataHow the principles of experimental design provide definitive answers to questionsHow to use regression to estimate results and detect anomaliesKey classification techniques for predicting categories of a recordStatistical machine learning methods that "learn" from dataUnsupervised learning methods to extract unlabeled data report
