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Content
1 Basic Python Programming
2 Data Manipulation and Cleaning with Pandas
3 Exploratory Data Analysis (EDA) Techniques
4 Data Visualizaiton using Matplotlib and Seaborn
5 Statistic Analysis
6 NumPy for numerical Computing
7 Data fitting for time series analysis
8 Introduction to Machine Learning
9 Real-world Data Analysis Case Studies