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Statistics Using Python - by  Oswald Campesato (Paperback) - 1 of 1

Statistics Using Python - by Oswald Campesato (Paperback)

$58.99

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About this item

Highlights

  • This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors.
  • About the Author: Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4.
  • 274 Pages
  • Computers + Internet, Databases

Description



About the Book



This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors. The ability to extract meaningful insights from data requires a deep understanding of statistics. The book ensures that each topic is introduced with clarity,



Book Synopsis



This book is designed to offer a fast-paced yet thorough introduction to essential statistical concepts using Python code samples, and aims to assist data scientists in their daily endeavors. The ability to extract meaningful insights from data requires a deep understanding of statistics. The book ensures that each topic is introduced with clarity, followed by executable Python code samples that can be modified and applied according to individual needs. Topics include working with data and exploratory analysis, the basics of probability, descriptive and inferential statistics and their applications, metrics for data analysis, probability distributions, hypothesis testing, and more. Appendices on Python and Pandas have been included. From foundational Python concepts to the intricacies of statistics, this book serves as a comprehensive resource for both beginners and seasoned professionals.



About the Author



Oswald Campesato (San Francisco, CA) specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over thirty-five books including Python 3 Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).
Dimensions (Overall): 9.0 Inches (H) x 7.0 Inches (W) x .58 Inches (D)
Weight: .96 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 274
Genre: Computers + Internet
Sub-Genre: Databases
Publisher: Mercury Learning and Information
Theme: Data Mining
Format: Paperback
Author: Oswald Campesato
Language: English
Street Date: December 27, 2023
TCIN: 1010750926
UPC: 9781683928805
Item Number (DPCI): 247-07-9907
Origin: Made in the USA or Imported
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Shipping details

Estimated ship dimensions: 0.58 inches length x 7 inches width x 9 inches height
Estimated ship weight: 0.96 pounds
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Q: What topics are covered in the book on statistics?

submitted by AI Shopping Assistant - 28 days ago
  • A: Topics include exploratory analysis, probability, descriptive statistics, inferential statistics, and hypothesis testing.

    submitted byAI Shopping Assistant - 28 days ago
    Ai generated

Q: What is the main audience for this book?

submitted by AI Shopping Assistant - 28 days ago
  • A: This book is aimed at data scientists and individuals interested in statistical analysis.

    submitted byAI Shopping Assistant - 28 days ago
    Ai generated

Q: Is the book suitable for beginners in programming and statistics?

submitted by AI Shopping Assistant - 28 days ago
  • A: Yes, it serves as a comprehensive resource for both beginners and seasoned professionals.

    submitted byAI Shopping Assistant - 28 days ago
    Ai generated

Q: What programming language does the book focus on for statistical concepts?

submitted by AI Shopping Assistant - 28 days ago
  • A: The book focuses on using Python to explain statistical concepts with code samples.

    submitted byAI Shopping Assistant - 28 days ago
    Ai generated

Q: Does the book include Python code examples?

submitted by AI Shopping Assistant - 28 days ago
  • A: Yes, the book includes executable Python code samples to illustrate statistical concepts effectively.

    submitted byAI Shopping Assistant - 28 days ago
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