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.

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Data Visualization in Python with Covid-19 Analysis Project

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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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