数据科学(Data Science) 是现代工程技术中重要组成部分。本帖提供了一套数据科学丛书，下载见这里。为方便下载后阅读，附带了list.bib文件，可用Jabref浏览和编辑。后面将陆续给出这些书籍的简介。
统计学
- Statistics
- Statistics for Engineering and the Sciences
- Probability and Statistics for Engineers and Scientists
- Applied Statistics and Probability for Engineers
- Practical Statistics for Data Scientist
- Data Visualization: A Practical Introduction
- Storytelling with Data: A Data Visualization Guide for Business Professionals
场景应用
- Doing Math with Python: Use Programming to Explore Algebra, Statistics, Calculus, and More
- Classic Computer Science Problems in Python
- Statistics for Machine Learning Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
- Introduction to Python for Engineers and Scientists. Open Source Solutions for Numerical Computation
- Learning Pandas: Python Tools for Data Munging, Data Analysis, and Visualization
- Python for Data Analysis Data Wrangling with Pandas, NumPy, and IPython
- Python Data Science Handbook. Essential Tools for Working with Data
- Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib