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Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges by Bradford Tuckfield at Abbey's Bookshop,
Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges
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Bradford Tuckfield

Dive Into Data Science

Use Python To Tackle Your Toughest Business Challenges

Bradford Tuckfield

$95

Paperback

Not in-store but you can order this
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English
No Starch Press,US
08 August 2023
Computer programming & software development
Learn how to use data science and Python to solve everyday business problems.

Dive into the exciting world of data science with this practical introduction. Packed with essential skills and useful examples, Dive Into Data Science will show you how to obtain, analyze, and visualize data so you can leverage its power to solve common business challenges.

With only a basic understanding of Python and high school math, you'll be able to effortlessly work through the book and start implementing data science in your day-to-day work. From improving a bike sharing company to extracting data from websites and creating recommendation systems, you'll discover how to find and use data-driven solutions to make business decisions.

Topics covered include conducting exploratory data analysis, running A/B tests, performing binary classification using logistic regression models, and using machine learning algorithms.

You'll also learn how to- Forecast consumer demand Optimize marketing campaignsReduce customer attritionPredict website trafficBuild recommendation systems With this practical guide at your fingertips, harness the power of programming, mathematical theory, and good old common sense to find data-driven solutions that make a difference. Don't wait; dive right in!
By:  
Imprint:   No Starch Press,US
Country of Publication:   United States
Dimensions:   Height: 234mm,  Width: 177mm, 
Weight:   369g
ISBN:   9781718502888
ISBN 10:   1718502885
Pages:   248
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active
Acknowledgments Introduction Chapter 1: Exploratory Data Analysis Chapter 2: Forecasting Chapter 3: Group Comparisons Chapter 4: A/B Testing Chapter 5: Binary Classification Chapter 6: Supervised Learning Chapter 7: Unsupervised Learning Chapter 8: Web Scraping Chapter 9: Recommendation Systems Chapter 10: Natural Language Processing Chapter 11: Data Science in Other Languages Index

Bradford Tuckfield is a data scientist, a consultant, and a writer. He received a PhD from the Wharton School of the University of Pennsylvania, and a BS in Mathematics from Brigham Young University. He is the author of Dive Into Algorithms (No Starch Press) and Applied Unsupervised Learning with R (Packt). In addition to working as a data scientist and tech manager for top finance firms and startups, his research has appeared in academic journals spanning math, business management, and medicine.

Reviews for Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges

Dive Into Data Science is a book every budding data analyst will want. Tuckfield covers the field with nuance and insight to show you what you can do and lead you to new ground. . . . If you have any interest in data science you'll find this book a welcomed joy and refer to it for years to come. -David S. Mazel, Principal/Manager Systems Engineer, Regulus-Group I highly recommend this book as your introduction to Data Science. You'll use the most important Python data science packages, work with real data, and learn how to visualize and analyze data in ways that today's data scientists do. The trick to writing an introductory Data Science book is to land on the right balance between 'now watch what this magical line of Python code does' and 'here's what's happening and what this approach is good for'. I think Dr. Tuckfield has done it. -Dr. Daniel Zingaro, Associate Professor of Computer Science at UT Mississauga and author of Algorithmic Thinking and Learn to Code by Solving Problems


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