This course introduces visualizing data and some of the best practices for creating plots and visuals along with the final project.
Key skills include:
- Relate the history of Matplotlib and its architecture
- Apply Matplotlib to create plots using Jupiter notebook.
- Discover how to read CSV files into a Pandas DataFrame and generate plots by Matplotlib
- Using data visualization libraries in Python, namely Matplotlib, Seaborn, Plotly, and Folium