Comprehensive coverage of essential statistical concepts for data science, enabling readers to apply statistics effectively
Includes practical Python code examples for each method, enhancing hands-on learning
Provides guidance on avoiding statistical misuse, supporting ethical data science practices
Bridges the gap between formal statistical training and data science application, making the material accessible to those with programming experience
Accessible and readable format tailored for data scientists familiar with R or Python
Summarized by Shop
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical meth