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:
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.
