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Practical Statistics for Data Scientists: 50+ Essential Concepts

Peter Bruce, Andrew Bruce, Peter Gedeck ★ 3.8/5 · ItemOracle Score Mid-Range

$45 USD
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Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python

A practical guide to core statistical concepts for data science with examples in R and Python. Readers find it accessible for starting data science statistics, though explanations and code quality receive mixed feedback

Highlights

  • 50+ essential concepts
  • dual-language code examples
  • applied statistics focus

Pros

  • clear focus on data science statistics
  • includes both R and Python code
  • practical concepts covered (50+)

Cons

  • mixed explanation quality
  • some Python code lacks comments

Best For

  • intro to data science statistics
  • hands-on learning with R and Python
  • reference for statistical concepts
  • code examples across languages
  • study aid for data science courses
  • self-study for analysts

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