
What you would learn in Data Visualization in python using seaborn library course?
Welcome to mastering Data Visualization! In this course, you'll be taught Data Visualization Theory as well as the Foundations of Data Visualization to help you create stunning charts that are useful and true to the information, as well as communicate powerfully.
"A picture is worth a thousand words." We all know the phrase, and this is especially true when trying to explain the knowledge that is derived from the analysis of massive data sets. Data visualization plays a crucial function in representing large and small-scale data.
It is intended to instruct students, analysts, statistics, data science, and data scientists on how to examine real-world data through the creation of professionally-designed charts and by using statistical descriptive numbers techniques using Python 3.
Learn to program using Python and how to analyze and design incredible data visualizations using Python! This course can serve as a reference to use for your projects.
Who is this course to be used for:
Designers, Programmers, Researchers, and Designers who wish to master the art of making the highest-quality plots
Anyone who is required to provide information at an upcoming time!
Data Scientists
Academic scientists are required to publish their work in scientific journals.
Journalists Data Journalists Data Journalists
Communication experts
For the general public, You should be aware of how graphs function since graphs are everywhere!
WHAT YOU'LL Learn
Define what makes a great or lousy visualization
Learn best practices to create basic charts
Find the functions that work the most effective for a particular issue
Create a visualization seaborn
Distribution Plot
Histograms
KDE Plots
Scatter Plot
Rug Plot
Joint Plot
Pair Plot
Bar Plot
Count Plot
Box Plot
Violin Plot
Strip Plot
Swarm Plot
Heat Map
Pair Plot
Sub Plot
Skills You'll Learn
Python Programming
Data Virtualization
Data Visualization (DataViz)
Seaborn
Course Content:
- What exactly is Data Visualization?
- Why should you consider using Data Visualization in Analytics and Business Intelligence projects?
- Data Visualization with Python
- Seaborn Library
- Distribution Plot, Histograms, KDE Plots, Scatter Plot, Rug Plot, Joint Plot, Pair Plot, Bar Plot, Count Plot, Box Plot, Violin Plot, Strip Plot, Swarm Plot
- The Heat Map and the Pair Plot and Sub Plot
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