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Dive Into Data Science (Use Python To Tackle Your Toughest Business Challenges)
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$39.99
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Product Details
Author:
Bradford Tuckfield
Format:
Paperback
Pages:
288
Publisher:
No Starch Press (July 4, 2023)
Language:
English
ISBN-13:
9781718502888
ISBN-10:
1718502885
Weight:
19.4oz
Dimensions:
7" x 9" x 0.7"
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T164952_155746775-20260405.xml
Folder:
RandomHouse
List Price:
$39.99
Case Pack:
24
As low as:
$30.79
Publisher Identifier:
P-RH
Discount Code:
A
QuickShip:
Yes
Audience:
General/trade
Country of Origin:
United States
Pub Discount:
65
Imprint:
No Starch Press
Overview
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:
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!
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 campaigns
- Reduce customer attrition
- Predict website traffic
- Build 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!
