Mastering Data Visualization with Python using Seaborn Library

Build your Data Analysis and Visualization skills with Python’s Seaborn Library

Created by : Rated :4.1 798 views

Last Updated: 2022-11-18 06:11:53 English Course Type: Self Learning

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

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 YOU WILL 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

No introductory skill level of Python programming required
Desire to learn!

Data Scientists, Data Analysts.
Who wants to start their data visualization journey
Who Is curious about how to build effective and impactful graphs
Who Is looking to break into the business intelligence, analytics or data visualization field
Anyone who want to express thoughts, findings, insights from any kind of data using data Visualization.

Section 1 : Importing the Data 1 Lectures 00:06:29
Lecture 1 :
Importing the Data Preview
Section 2 : Distribution Plot 2 Lectures 00:09:33
Lecture 1 :
DISPLOT
Lecture 2 :
Uses of distribution plot
Section 3 : KDE PLOT 3 Lectures 00:21:51
Lecture 1 :
KDE Introduction
Lecture 2 :
KDE Plot Part 1
Lecture 3 :
KDE Plot Part 2
Section 4 : Scatter Plot 1 Lectures 00:11:40
Lecture 1 :
Scatter Plot
Section 5 : Rug Plot 1 Lectures 00:03:45
Lecture 1 :
Rug Plot
Section 6 : Joint Plot 1 Lectures 00:07:55
Lecture 1 :
Joint Plot
Section 7 : Pair Plot 1 Lectures 00:05:55
Lecture 1 :
Pair Plot
Section 8 : Bar Plot 1 Lectures 00:00:00
Lecture 1 :
Bar Plot
Section 9 : Count Plot 1 Lectures 00:02:00
Lecture 1 :
Count Plot
Section 10 : Box Plot 1 Lectures 00:00:00
Lecture 1 :
Box Plot
Section 11 : Violin Plot 1 Lectures 00:04:50
Lecture 1 :
Violin Plot
Section 12 : Strip Plot 1 Lectures 00:04:16
Lecture 1 :
Strip Plot
Section 13 : Swarm Plot 1 Lectures 00:03:37
Lecture 1 :
Swarm Plot
Section 14 : Heat Map 1 Lectures 00:09:25
Lecture 1 :
Heat Map
Section 15 : Pair Grid 1 Lectures 00:08:45
Lecture 1 :
Pair Grid
Section 16 : Sub Plots 1 Lectures 00:05:16
Lecture 1 :
Sub Plots

How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
For how long can i access my course on the platform?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions.
Is there any free trial?
Currently, we do not offer any free trial.
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?

Jobshie Academy,

2651 Course Views

4 Courses

I have working experience of Data Analysis of more than three years. I create videos on SQL, Big query, Data Science, Data Analysis, Python, Machine Learning, Deep Learning. There are more than 70000 Enrollments in my courses. My most popular course is: Data Analysis for Entry Level Job - Zero to Hero Skill Path