# 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.

What you’ll learn

• How to use Python for Data Visualization
• Full-fledged hands-on Project on Data Visualization with Python – “Visualizing Covid-19”
• How to develop useful, intuitive and informative visualizations using Python programming
• Introduction to Data Visualization – what it is, its importance & benefits
• Top Python Libraries for Data Visualization
• Introduction to Matplotlib, Install Matplotlib with pip
• Basic Plotting with Matplotlib
• NumPy and Pandas
• Data Visualization tools – Bar chart, Histogram, Pie chart
• More Data Visualization tools – Scatter Plot, Area Plot, Stacked Area Plot, Box Plot
• Advanced data Visualization tools – Waffle Chart, Word Cloud, Heat map
• Specialized data Visualization tools (I) – Bubble charts, Contour plots, Quiver Plot
• Specialized data Visualization tools (II) – 3D Plotting in Matplotlib
• 3D Line Plot, 3 D Scatter Plot, 3D Contour Plot, 3D Wireframe Plot, 3D Surface Plot
• Seaborn – Introduction to Seaborn, Seaborn functionalities, Installing Seaborn
• Different categories of plot in Seaborn, Some basic plots using seaborn
• 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

Requirements

• Enthusiasm and determination to make your mark on the world!

#### Description

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

• 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

Who this course is for:

• Data Analysts & Consultants
• Python Programmers & Developers
• Anyone wishing to make a career in Business Intelligence, Visualization and Analytics
• Data Visualization Managers
• Data Engineers & Data Scientists
• Data Visualization Developers
• Data Architects
• Newbies and beginners aspiring to become BI & Visualization professionals
• Data Analysts – Python, Tableau, SQL
• BI Solutions Manager
• Reporting Analysts

Created by Uplatz Training
Last updated 9/2020
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Size : 9.17 GB