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Essential Statistics for Non-STEM Data Analysts Cover

Essential Statistics for Non-STEM Data Analysts

Get to grips with the statistics and math knowledge needed to enter the world of data science with Python

Paid access
|Nov 2020
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Table of Contents

  1. Fundamentals of Data Collection, Cleaning and Preprocessing
  2. Essential Statistics for Data Assessment
  3. Visualization with Statistical Graphs
  4. Sampling and Inferential Statistics
  5. Common Probability Distributions
  6. Parametric Estimation
  7. Statistical Hypothesis Testing
  8. Statistics for Regression
  9. Statistics for Classification
  10. Statistics for Tree-based Methods
  11. Statistics for Ensemble Method
  12. A Collection of Best Practices
  13. Exercises and Projects
PDF ISBN: 978-1-83898-756-5
Publisher: Packt Publishing Limited
Copyright owner: © 2020 Packt Publishing Limited
Publication date: 2020
Language: English
Pages: 392