Dive Into Data Science cover

Dive Into Data Science

Use Python To Tackle Your Toughest Business Challenges
by Bradford Tuckfield
May 2023, 296 pp.

Look Inside!

Dive Into Data Science pages 14-15Dive Into Data Science pages 126-127Dive Into Data Science pages 220-221

Download Chapter 2: FORECASTING

This beginners book will teach you how to apply the principles of data science to improve your business strategies—no math proficiency required! Easy-to-follow chapters take you through concepts like A/B testing, supervised and unsupervised machine learning, web scraping, and more. Each concept is illustrated using real-world business applications, real-world data, and useful (Python) code examples. The tone is conversational, and the author avoids the dense mathematical theories associated with data science in favor of simple explanations and practical applications. By the end of the book, you'll be comfortable working with data, know how to apply it toward solving business problems, and feel confident using Python code to analyze it.

You'll learn:

  • How to obtain data
  • How to clean and manipulate data
  • How to analyze data
  • How to make predictions and classifications
  • How to visualize data
  • How to work with data in multiple programming languages
Author Bio 

Bradford Tuckfield is a data science consultant and writer. He received a PhD from the Wharton School of the University of Pennsylvania and a BS in math from Brigham Young University. He has worked as a data scientist and tech manager for top finance firms and startups.

Table of contents 

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: Other Languages

The chapters in red are included in this Early Access PDF.