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.
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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.
Essential Statistics for Non-STEM Data Analysts
- About Book
- Who Is This Book For?
- Book Content
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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