Data Visualization in Python Using Seaborn Library
Best course on Data Visualization in python using seaborn library
Data Analysis,Data Visualization,Development
Lectures -20
Resources -1
Duration -2 hours
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Course Description
Welcome to Mastering Data Visualization! In this course, you're going to learn about the Theory and Foundations of Data Visualization so that you can create amazing charts that are informative, true to the data, and communicatively effective.
"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.
This course is designed to teach analysts, students interested in data science, statisticians, and data scientists how to analyze real-world data by creating professional-looking charts and using numerical descriptive statistics techniques in Python 3.
We'll teach you how to program with Python, how to analyze and create amazing data visualizations with Python! You can use this course as your ready-to-go reference for your own project.
Who this course is for:
Programmers / Researchers / Designers that want to learn how to produce top-quality plots
Anyone who has to present data at some point!
Data Scientists
Academic scientists having to publish in scientific journals
Journalists / Data Journalists
Communication experts
Also the general public: you should know how graphs work because they're everywhere!
What will you learn
Describe what makes a good or bad visualization
Understand best practices for creating basic charts
Identify the functions that are best for particular problems
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 will gain
Python Programming
Data Virtualization
Data Visualization (DataViz)
seaborn
If you need to analyze, present or communicate data professionally at some point, this course is a must.
I really encourage you to deepen your knowledge on Data Visualization. It's not a difficult topic, and we will start from the basics. You don't need any previous knowledge. I'll teach you everything you need to know along the way and we'll go straight to the point. No rambling. I really hope to see you in class!
Goals
What will you learn in this course:
- What is Data Visualization?
- Why Should you use Data Visualization in Analytics and Business Intelligence projects?
- Data Visualization in 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, Heat Map, Pair Plot, Sub Plot
Prerequisites
What are the prerequisites for this course?
- No introductory skill level in Python programming is required.
- Desire to learn!
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
- Introduction 03:32 03:32
- Importing the data 06:29 06:29
Distribution Plot
2 Lectures
KDE Plot
3 Lectures
Scatter Plot
1 Lectures
Rug Plot
1 Lectures
Joint Plot
1 Lectures
Pair Plot
1 Lectures
Bar Plot
1 Lectures
Count Plot
1 Lectures
Box Plot
1 Lectures
Violin Plot
1 Lectures
Strip Plot
1 Lectures
Swarm Plot
1 Lectures
Heat Map
1 Lectures
Pair Grid
1 Lectures
Sub Plots
1 Lectures
Instructor Details
ADITYA
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