Data Visualization in Python with Covid-19 Analysis Project

Data Visualization with Python – course syllabus

1. Introduction to Data Visualization

• What is data visualization
• Benefits of data visualization
• Importance of data visualization
• Top Python Libraries for Data Visualization

2. Matplotlib

• Introduction to Matplotlib
• Install Matplotlib with pip
• Basic Plotting with Matplotlib
• Plotting two or more lines on the same plot

3. Numpy and Pandas

• What is numpy?
• Why use numpy?
• Installation of numpy
• Example of numpy
• What is a panda?
• Key features of pandas
• Python Pandas – Environment Setup
• Pandas – Data Structure with example

4. Data Visualization tools

• Bar chart
• Histogram
• Pie Chart

5. More Data Visualization tools

• Scatter Plot
• Area Plot
• STACKED Area Plot
• Box Plot

6. Advanced data Visualization tools

• Waffle Chart
• Word Cloud
• HEAT MAP

7. Specialized data Visualization tools (Part-I)

• Bubble charts
• Contour plots
• Quiver Plot

8. Specialized data Visualization tools (Part-II)

Three-Dimensional Plotting in Matplotlib

• 3D Line Plot
• 3D Scatter Plot
• 3D Contour Plot
• 3D Wireframe Plot
• 3D Surface Plot

9. Seaborn

• Introduction to seaborn
• Seaborn Functionalities
• Installing seaborn
• Different categories of plot in Seaborn
• Some basic plots using seaborn

10. Data Visualization using Seaborn

• Strip Plot
• Swarm Plot
• Plotting Bivariate Distribution
• Scatter plot, Hexbin plot, KDE, Regplot
• Visualizing Pairwise Relationship
• Box plot, Violin Plots, Point Plot

11. Project on Data Visualization