- Overview of data science and its applications
- Introduction to Python programming language
- Basics of data manipulation and analysis using pandas library
- Data cleaning and preprocessing techniques
- Importance of data visualization in data science
- Introduction to data visualization libraries: Matplotlib and Seaborn
- Creating various types of plots: scatter plots, histograms, bar charts, etc.
- Customizing and enhancing visualizations for effective communication of insights