Description: Statistics for Data Science and Analytics by Peter C. Bruce, Peter Gedeck, Janet Dobbins Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statistical analysis using Python, presenting important topics useful for data science such as prediction, correlation, and data exploration. The authors provide an introduction to statistical science and big data, as well as an overview of Python data structures and operations. A range of statistical techniques are presented with their implementation in Python, including hypothesis testing, probability, exploratory data analysis, categorical variables, surveys and sampling, A/B testing, and correlation. The text introduces binary classification, a foundational element of machine learning, validation of statistical models by applying them to holdout data, and probability and inference via the easy-to-understand method of resampling and the bootstrap instead of using a myriad of "kitchen sink" formulas. Regression is taught both as a tool for explanation and for prediction. This book is informed by the authors experience designing and teaching both introductory statistics and machine learning at Statistics.com. Each chapter includes practical examples, explanations of the underlying concepts, and Python code snippets to help readers apply the techniques themselves. Statistics for Data Science and Analytics includes information on sample topics such as: Int, float, and string data types, numerical operations, manipulating strings, converting data types, and advanced data structures like lists, dictionaries, and setsExperiment design via randomizing, blinding, and before-after pairing, as well as proportions and percents when handling binary dataSpecialized Python packages like numpy, scipy, pandas, scikit-learn and statsmodels—the workhorses of data science—and how to get the most value from themStatistical versus practical significance, random number generators, functions for code reuse, and binomial and normal probability distributions Written by and for data science instructors, Statistics for Data Science and Analytics is an excellent learning resource for data science instructors prescribing a required intro stats course for their programs, as well as other students and professionals seeking to transition to the data science field. Author Biography Peter C. Bruce is Founder of the Institute for Statistics Education at Statistics.com, now part of Elder Research, Inc. He is the developer of Resampling Stats software, and the author or co-author of a number of peer-reviewed articles and several books. Dr. Peter Gedeck, PhD, is a scientist in the research informatics team at Collaborative Drug Discovery, specializing in the development of machine learning algorithms to predict biological and physicochemical properties of drug candidates. Janet Dobbins is the Chair of the Board of Directors for Data Community DC, a non-profit 501(c)(3) corporation committed to promoting data science by fostering education, opportunity, and professional development through high-quality community-driven events. She previously served as the Vice President of Business Development and Strategic Partnership at The Institute for Statistics Education at Statistics.com. Bruce and Gedeck are part of the author teams for the best-selling books Machine Learning for Business Analytics (Wiley) and Practical Statistics for Data Scientists(OReilly). Details ISBN 139425380X ISBN-13 9781394253807 Title Statistics for Data Science and Analytics Author Peter C. Bruce, Peter Gedeck, Janet Dobbins Format Hardcover Year 2024 Pages 384 Publisher John Wiley & Sons Inc GE_Item_ID:161230586; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. 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Price: 125.14 USD
Location: Fairfield, Ohio
End Time: 2024-11-03T19:21:36.000Z
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ISBN-13: 9781394253807
Book Title: Statistics for Data Science and Analytics
Number of Pages: 384 Pages
Language: English
Publication Name: Statistics for Data Science and Analytics
Publisher: Wiley & Sons, Incorporated, John
Subject: Probability & Statistics / General, General, Databases / Data Mining, Programming Languages / Python
Publication Year: 2024
Item Height: 0.9 in
Type: Textbook
Item Weight: 27.6 Oz
Subject Area: Mathematics, Computers
Item Length: 9 in
Author: Peter Gedeck, Janet Dobbins, Peter C. Bruce
Item Width: 6 in
Format: Hardcover