Data Visualization in Python with Covid-19 Analysis Project
- Description
- Curriculum
- FAQ
- Reviews
Data Visualization with Python – course syllabus
1. Introduction to Data Visualization
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What is data visualization
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Benefits of data visualization
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Importance of data visualization
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Top Python Libraries for Data Visualization
2. Matplotlib
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Introduction to Matplotlib
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Install Matplotlib with pip
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Basic Plotting with Matplotlib
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Plotting two or more lines on the same plot
3. Numpy and Pandas
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What is numpy?
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Why use numpy?
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Installation of numpy
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Example of numpy
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What is a panda?
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Key features of pandas
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Python Pandas – Environment Setup
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Pandas – Data Structure with example
4. Data Visualization tools
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Bar chart
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Histogram
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Pie Chart
5. More Data Visualization tools
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Scatter Plot
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Area Plot
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STACKED Area Plot
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Box Plot
6. Advanced data Visualization tools
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Waffle Chart
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Word Cloud
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HEAT MAP
7. Specialized data Visualization tools (Part-I)
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Bubble charts
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Contour plots
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Quiver Plot
8. Specialized data Visualization tools (Part-II)
Three-Dimensional Plotting in Matplotlib
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3D Line Plot
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3D Scatter Plot
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3D Contour Plot
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3D Wireframe Plot
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3D Surface Plot
9. Seaborn
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Introduction to seaborn
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Seaborn Functionalities
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Installing seaborn
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Different categories of plot in Seaborn
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Some basic plots using seaborn
10. Data Visualization using Seaborn
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Strip Plot
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Swarm Plot
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Plotting Bivariate Distribution
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Scatter plot, Hexbin plot, KDE, Regplot
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Visualizing Pairwise Relationship
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Box plot, Violin Plots, Point Plot
11. Project on Data Visualization
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