Data Visualization with Python and Covid-19 Analysis Project
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1-10-2020, 15:16
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MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 36 lectures (22 hour, 53 mins) | Size: 11 GB
Learn to use Python for Data Visualization. Practical project on applying Python for visualizing & predicting Covid-19.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 36 lectures (22 hour, 53 mins) | Size: 11 GB
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 MatDescriptionlib, Install MatDescriptionlib with pip
Basic Descriptionting with MatDescriptionlib
NumPy and Pandas
Data Visualization tools - Bar chart, Histogram, Pie chart
More Data Visualization tools - Scatter Description, Area Description, Stacked Area Description, Box Description
Advanced data Visualization tools - Waffle Chart, Word Cloud, Heat map
Specialized data Visualization tools (I) - Bubble charts, Contour Descriptions, Quiver Description
Specialized data Visualization tools (II) - 3D Descriptionting in MatDescriptionlib
3D Line Description, 3 D Scatter Description, 3D Contour Description, 3D Wireframe Description, 3D Surface Description
Seaborn - Introduction to Seaborn, Seaborn functionalities, Installing Seaborn
Different categories of Description in Seaborn, Some basic Descriptions using seaborn
Data Visualization using Seaborn - Strip Description, Swarm Description, Descriptionting Bivariate Distribution
Scatter Description, Hexbin Description, KDE, RegDescription, Visualizing Pairwise Relationship, Box Description, Violin Descriptions, Point Description
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. MatDescriptionlib
Introduction to MatDescriptionlib
Install MatDescriptionlib with pip
Basic Descriptionting with MatDescriptionlib
Descriptionting two or more lines on the same Description
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 Description
Area Description
STACKED Area Description
Box Description
6. Advanced data Visualization tools
Waffle Chart
Word Cloud
HEAT MAP
7. Specialized data Visualization tools (Part-I)
Bubble charts
Contour Descriptions
Quiver Description
8. Specialized data Visualization tools (Part-II)
Three-Dimensional Descriptionting in MatDescriptionlib
3D Line Description
3D Scatter Description
3D Contour Description
3D Wireframe Description
3D Surface Description
9. Seaborn
Introduction to seaborn
Seaborn Functionalities
Installing seaborn
Different categories of Description in Seaborn
Some basic Descriptions using seaborn
10. Data Visualization using Seaborn
Strip Description
Swarm Description
Descriptionting Bivariate Distribution
Scatter Description, Hexbin Description, KDE, RegDescription
Visualizing Pairwise Relationship
Box Description, Violin Descriptions, Point Description
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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