Bruce, Peter
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python
- ISBN 13:
- 9781492072942
- author:
- Bruce, Peter
- format:
- Paperback
- publisher:
- O'Reilly Media, Inc, USA
- language:
- English
- Publication Year:
- 2020
- Pages:
- 350
- Dimensions:
- 23.11 x 17.78 x 2.29 centimetres
- Genre:
- Computers, Server & Database, Data Mining,
- Condition:
- New
- Availability:
- Item usually sent within 2 working days
Description
Practical Statistics for Data Scientists brings statistical methods to life in a way that's accessible to data scientists with a programming background. This comprehensive guide covers essential concepts in Python and R, providing practical guidance on applying statistical methods to data science and avoiding their misuse.
With this book, you'll learn how to extract valuable insights from data, including the importance of exploratory data analysis, how to reduce bias in your dataset, and how to use regression to estimate outcomes and detect anomalies. You'll also discover key classification techniques for predicting categories and statistical machine learning methods that "learn" from data.
Whether you're working with big data or just getting started with data science, this book provides a deeper statistical perspective on the methods you need to know. With its clear and concise approach, it's the perfect quick reference for anyone looking to bridge the gap between programming and statistics.
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