Practical Statistics for Data Scientists
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how… Celý popis ↓
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Popis Practical Statistics for Data Scientists
Practical Statistics for Data Scientists
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. Courses and books on basic statistics rarely cover the topic from a data science perspective.
If you're familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and
Parametre
- Autor
- Peter Bruce, Andrew Bruce, Peter Gedeck
- Počet strán
- 368
- Rok vydania
- 2020
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