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