ExpiredData Visualization in Python with Covid-19 Analysis Project
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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.
Requirements
- Enthusiasm and determination to make your mark on the world!
Description
Data Visualization with Python – course syllabus
- Introduction to Data Visualization
- What is data visualization
- Benefits of data visualization
- Importance of data visualization
- Top Python Libraries for Data Visualization
- Matplotlib
- Introduction to Matplotlib
- Install Matplotlib with pip
- Basic Plotting with Matplotlib
- Plotting two or more lines on the same plot
- 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
- 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 (Part-I)
- Bubble charts
- Contour plots
- Quiver Plot
- 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
- 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
- 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
- Machine Learning Professionals
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