Description: Data Science by Trevor Campbell, Melissa Lee, Tiffany Timbers Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Data Science: An Introduction focuses on using the R programming language in Jupyter notebooks to perform basic data manipulation and cleaning, create effective visualizations, and extract insights from data using supervised predictive models. Publisher Description Data Science: A First Introduction focuses on using the R programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference.The text emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. All source code is available online, demonstrating the use of good reproducible project workflows.Based on educational research and active learning principles, the book uses a modern approach to R and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The book will leave readers well-prepared for data science projects.The book is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates in the University of British Columbias DSCI100: Introduction to Data Science course. Author Biography Tiffany Timbers is an Assistant Professor of Teaching in the Department of Statistics and Co-Director for the Master of Data Science program (Vancouver Option) at the University of British Columbia.Trevor Campbell is an Assistant Professor in the Department of Statistics at the University of British Columbia.Melissa Lee is an Assistant Professor of Teaching in the Department of Statistics at the University of British Columbia Details ISBN 0367532174 ISBN-13 9780367532178 Title Data Science Author Trevor Campbell, Melissa Lee, Tiffany Timbers Format Hardcover Year 2022 Pages 456 Publisher Taylor & Francis Ltd GE_Item_ID:135510796; 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. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 186.2 USD
Location: Fairfield, Ohio
End Time: 2024-11-20T04:10:05.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9780367532178
Book Title: Data Science
Publisher: CRC Press LLC
Publication Year: 2022
Subject: General
Number of Pages: 456 Pages
Language: English
Publication Name: Data Science
Type: Textbook
Author: Melissa Lee, Trevor Campbell, Tiffany-Anne Timbers
Subject Area: Mathematics
Format: Hardcover