Statistics Using Python

Statistics Using Python

Oswald Campesato
Paperback
December 2023
9781683928805
More details
  • Publisher
    Mercury Learning and Information
  • Published
    13th December 2023
  • ISBN 9781683928805
  • Language English
  • Pages 260 pp.
  • Size 7" x 9"
$54.99
Add to Cart
E-Book

E-books are now distributed via RedShelf or VitalSource

You will choose the vendor in the cart as part of the check out process. These vendors offer a more seamless way to access the ebook, and add some great new features including text-to-voice. You own your ebook for life, it is simply hosted on the vendors website, working much like Kindle and Nook. Click here to see more detailed information on this process.

December 2023
9781683928782
More details
  • Publisher
    Mercury Learning and Information
  • Published
    12th December 2023
  • ISBN 9781683928782
  • Language English
  • Pages 260 pp.
  • Size 7" x 9"
$54.99
Add to Cart
Lib E-Book

Library E-Books

We are signed up with aggregators who resell networkable e-book editions of our titles to academic libraries. These editions, priced at par with simultaneous hardcover editions of our titles, are not available direct from Stylus.

These aggregators offer a variety of plans to libraries, such as simultaneous access by multiple library patrons, and access to portions of titles at a fraction of list price under what is commonly referred to as a "patron-driven demand" model.

December 2023
9781683928799
More details
  • Publisher
    Mercury Learning and Information
  • Published
    12th December 2023
  • ISBN 9781683928799
  • Language English
  • Pages 260 pp.
  • Size 7" x 9"
$155.00

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.

FEATURES

  • Provides Python code samples to ensure readers can immediately apply what they learn
  • Covers everything from basic data handling to advanced statistical concepts
  • Features downloadable companion files with code samples and figures
  • Includes two appendices, An Introduction to Python and an Introduction to Pandas as refresher material

1: Working with Data
2: Introduction to Probability
3: Introduction to Statistics
4: Metrics in Statistics
5: Probability Distributions
6: Hypothesis Testing
Appendices:
A. Introduction to Python
B. Introduction to Pandas
Index

Oswald Campesato

Oswald Campesato specializes in Deep Learning, Python, and GPT-4. He is the author/co-author of over forty books including Python 3 Data Visualization Using ChatGPT / GPT-4, NLP for Developers, and Artificial Intelligence, Machine Learning and Deep Learning (all Mercury Learning).

Data mining; mathematics; probability; statistics; desktop applications; spreadsheets; data science; programmers; statisticians