Tech & IT
Business
Coding & Developer
Finance & Accounting
Academics
Office Applications
Art & Design
Marketing
Health & Wellness
Sounds & Music
Lifestyle
Photography
.jpg)
This plan includes
- Limited free courses access
- Play & Pause Course Videos
- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
This plan includes
- Access to 11,000+ Courses
- Ads free experience Courses
- Play & Pause Course Videos
HD Video Recorded Lectures- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Instructor Direct Support
- Email & Chat Support
- Cancel Anytime
What you'll learn?
- 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
Course Overview
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
Pre-requisites
- No introductory skill level of Python programming required
- Desire to learn!
Target Audience
- 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.
Curriculum 19 Lectures 01:45:17
-
Section 1 : Importing the Data
-
Section 2 : Distribution Plot
- Lecture 1 :
- DISPLOT
- Lecture 2 :
- Uses of distribution plot
-
Section 3 : KDE PLOT
- Lecture 1 :
- KDE Introduction
- Lecture 2 :
- KDE Plot Part 1
- Lecture 3 :
- KDE Plot Part 2
-
Section 4 : Scatter Plot
- Lecture 1 :
- Scatter Plot
-
Section 5 : Rug Plot
- Lecture 1 :
- Rug Plot
-
Section 6 : Joint Plot
- Lecture 1 :
- Joint Plot
-
Section 7 : Pair Plot
- Lecture 1 :
- Pair Plot
-
Section 8 : Bar Plot
- Lecture 1 :
- Bar Plot
-
Section 9 : Count Plot
- Lecture 1 :
- Count Plot
-
Section 10 : Box Plot
- Lecture 1 :
- Box Plot
-
Section 11 : Violin Plot
- Lecture 1 :
- Violin Plot
-
Section 12 : Strip Plot
- Lecture 1 :
- Strip Plot
-
Section 13 : Swarm Plot
- Lecture 1 :
- Swarm Plot
-
Section 14 : Heat Map
- Lecture 1 :
- Heat Map
-
Section 15 : Pair Grid
- Lecture 1 :
- Pair Grid
-
Section 16 : Sub Plots
- Lecture 1 :
- Sub Plots
Our learners work at
Frequently Asked Questions
-
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?
Instructor
2304 Course Views
4 Courses
.jpg?crop=smart&width=600&height=400)
