Covers data gathering, wrangling, and analysis for foundational understanding
Explains descriptive and inferential statistics to summarize and infer trends
Introduces machine learning and natural language processing for advanced applications
Includes code examples and figures to clarify complex concepts
Focuses on real-world problem-solving and actionable insights
Summarized by Shop
The Beginner's Guide to Data Science Ball, Robert; Rague, Brian
This book discusses the principles and practical applications of data science, addressing key topics including data wrangling, statistics, machine learning, data visualization, natural language processing and time series analysis. Detailed investigations of techniques used in