Preface
1- Introduction to Data Analytics
2- Working With Pandas
3-Exploring Data frames
4-Data Cleaning and Preprocessing
5- Data Visualization Using Matplotlib
6- Data Visualization Using Seaborn
7- Introduction to Plotly
8- Probability Distributions
9- parametric Tests
10- Non-Parametric Tests
11- Anova and Regression