Book

Essential Statistics for Non-STEM Data Analysts

Put your data science knowledge to work with this practical guide to statistics. You’ll understand the working mechanism of each method used and find out how data science algorithms function. This book will help you learn the statistical techniques required for key model building and functioning using Python.

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

13h4m

Language

English

About Book

Who Is This Book For?

This book is an entry-level guide for data science enthusiasts, data analysts, and anyone starting out in the field of data science and looking to learn the essential statistical concepts with the help of simple explanations and examples. If you’re a developer or student with a non-mathematical background, you’ll find this book useful. Working knowledge of the Python programming language is required.

Book content

chapters 13h4m total length

Fundamentals of Data Collection, Cleaning and Preprocessing

Essential Statistics for Data Assessment

Visualization with Statistical Graphs

Sampling and Inferential Statistics

Common Probability Distributions

Parametric Estimation

Statistical Hypothesis Testing

Statistics for Regression

Statistics for Classification

Statistics for Tree-based Methods

Statistics for Ensemble Method

A Collection of Best Practices

Exercises and Projects

Related Resources

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