"Data Science from Scratch: First Principles with Python" by Joel Grus is a comprehensive guide to data science for beginners. The book is aimed at individuals with little or no experience in programming or data analysis.
The book covers various topics related to data science, including Python programming, statistics, machine learning, and data visualization. The author provides practical examples and case studies throughout the book to illustrate the concepts being discussed.
One of the strengths of the book is that it provides a clear and concise explanation of the fundamentals of data science. The author explains complex concepts in simple terms, making it easy for readers to understand the underlying principles of data science.
The book also covers important topics such as data cleaning, data wrangling, and data analysis. The author provides clear explanations of these topics, making it easy for readers to understand how to apply these techniques in practice.
Overall, "Data Science from Scratch" is an excellent resource for beginners who want to learn data science from the ground up. The book is well-written, easy to follow, and provides practical guidance on how to apply the concepts learned to real-world problems.
