Data Visualization in Python with Covid-19 Analysis Project

Data Visualization in Python with Covid-19 Analysis Project
Learn to use Python for Data Visualization. Practical project on applying Python for visualizing & predicting Covid-19.

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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