Python and Statistical Analysis (Spring)

Contents

• Chapter 1: Introduction to Data Analysis and Visualization
• Chapter 2: Foundation of Python Programming
• Chapter 3: Foundation of Numerical Computation with NumPy
• Chapter 4: Foundation of Statistical Analysis with Pandas
• Chapter 5: Data Loading and Preprocessing with Pandas
• Chapter 6: Foundation of Data Visualization with Matplotlib
• Chapter 7: Visualization with Seaborn*
• Chapter 8: Visualization with Pyecharts*
• Chapter 9: Time Series Data Analysis*
• Chapter 10: Scientific Computing with SciPy
• Chapter 11: Statistics and Machine Learning
• Chapter 12: Image Data Analysis*
• Chapter 13: Comprehensive Case Studies*

IDE

• Anaconda3-5.3.1-Windows-x86_64
• python-3.10.10-amd64
• conda command

Textbook

• Python 3 教程
• 魏伟一, 李晓红, 高志玲. Python数据分析与可视化[M] (第2版). 清华大学出版社, 2021. Slides