(Valid For First 1000 Enrollment)
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
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