Data Visualization in Python with Covid-19 Analysis Project

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

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

Who this course is for:

  • Data Analysts & Consultants
  • Python Programmers & Developers
  • Business Analysts & Consultants
  • Anyone wishing to make a career in Business Intelligence, Visualization and Analytics
  • Data Visualization Managers
  • Data Engineers & Data Scientists
  • Data Visualization Developers
  • Data Architects
  • Data Visualization Leads
  • 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
English
English [Auto]

Size : 9.17 GB

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https://www.udemy.com/course/data-visualization-with-python-training/

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