Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 11 GB
Genre: eLearning Video | Duration: 36 lectures (22 hour, 53 mins) | Language: English
Learn to use Python for Data Visualization. Practical project on applying Python for visualizing & predicting Covid-19.
What you'll learn Homepage: https://www.udemy.com/course/data-visualization-with-python-training/
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
Machine Learning Professionals
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