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 approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 13h4m total length

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

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