Expert Training Data Science & Analytics,E-Books & PDF Guides Foundations of Statistics for Data Scientists: Learn R & Python

Foundations of Statistics for Data Scientists: Learn R & Python

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Foundations Statistics Data Scientists

Foundations of Statistics for Data Scientists: Learn R & Python

Foundations Statistics Data Scientists – Master statistical methods with R and Python for data science.

Overview: Learn Statistics for Data Science with R & Python

The Foundations of Statistics for Data Scientists is an essential resource for aspiring and experienced data scientists. This book provides a deep dive into statistical concepts, data analysis, and probability theory, all while leveraging R and Python for real-world applications.

With a structured approach, this guide explores **statistical inference, hypothesis testing, regression models, Bayesian statistics, and machine learning techniques**, helping you build a strong foundation in data science methodologies.

What You’ll Learn

  • Understand essential statistical principles for data science.
  • Statistical Analysis with R and Python: Apply key statistical methods using **R and Python programming.**
  • Data Science Probability Theory: Master probability distributions, hypothesis testing, and statistical inference.
  • Machine Learning with Statistical Models: Learn how statistics power modern ML algorithms.
  • Advanced Data Science Techniques: Explore **Bayesian inference, regression models, and multivariate analysis.**

Who Should Read This Book?

  • Data scientists and analysts looking to **deepen their statistical knowledge** with practical R & Python examples.
  • Machine learning practitioners who want to **enhance model interpretability using statistics.**
  • Students and researchers in data science, AI, and machine learning looking for **a structured statistics foundation.**

Book Details

  • Title: Foundations of Statistics for Data Scientists
  • Authors: Chapman & Hall/CRC
  • Published: 2021
  • Format: PDF / eBook
  • Language: English

Why Choose This Guide?

  • Comprehensive Coverage: Covers **statistical analysis, probability, and data science best practices.**
  • Hands-On Learning: Includes practical coding examples in **R and Python.**
  • Real-World Applications: Apply statistical models to **machine learning and AI.**
  • Ideal for Data Scientists: Designed to help professionals master **statistical inference, probability, and ML techniques.**

Related Courses & Books

Gain a solid statistical foundation and **enhance your data science skills with R and Python** using the book. Get started today!


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