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Learner Reviews & Feedback for Exploratory Data Analysis with Seaborn by Coursera Project Network

435 ratings

About the Course

Producing visualizations is an important first step in exploring and analyzing real-world data sets. As such, visualization is an indispensable method in any data scientist's toolbox. It is also a powerful tool to identify problems in analyses and for illustrating results.In this project-based course, we will employ the statistical data visualization library, Seaborn, to discover and explore the relationships in the Breast Cancer Wisconsin (Diagnostic) Data Set. We will cover key concepts in exploratory data analysis (EDA) using visualizations to identify and interpret inherent relationships in the data set, produce various chart types including histograms, violin plots, box plots, joint plots, pair grids, and heatmaps, customize plot aesthetics and apply faceting methods to visualize higher dimensional data. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews


Sep 7, 2020

This project is great for people go want to advances her career exploring new viz techniques. The instructor is great, clear and easy to follow. I will definitely recommend to take this project.


Oct 3, 2020

As a beginner, this was a very good insight into EDA for me. You will however, have to read the documentation and more articles to go in-depth. However, this is a very good introductory course.

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26 - 50 of 73 Reviews for Exploratory Data Analysis with Seaborn

By Mohamed A E S

Jul 31, 2022

I needed to practice an Exploratory Data Analysis EDA and I find it so helpful project to practice.

By Johannes J B C

Jul 9, 2020

one of the best coursera guided project IMO. the teacher speaks fluently and explains good enough.

By Alex K

Dec 7, 2020

Well explained, hands-on course that is very practical for anyone wanting to get better at EDA.

By ahmet s

Dec 16, 2020

Clean, simple and quick. I recommend this course to anyone who needs an insight from seaborn.

By Shubham K K

Sep 17, 2020

Nice course telling the basic functionality of data visualization with python .

By Adolf Y M

Oct 10, 2020

all is explained very well so i can get a good understanding of EDA

By John F

Feb 28, 2024

Instructor is one of the best on here. Very clear and informative!

By Minhaj A A

Jun 1, 2020

Good project to practice your visualisation skills using seaborn

By Marwa A E

Jun 13, 2020

More than perfect course, amazing and simple. Thank you :)

By Deepa

Jul 28, 2020

An easy to understand project with good explanation.

By c s s

Jun 8, 2020

this was a beautiful learning experience!

thank you !

By Cheikh B

Jul 14, 2020

very helpfull project to learn easier seaborn

By Arnab B

Sep 19, 2020

Good instructions for absolute beginners

By Mohamed A H

Jan 25, 2023

I am waiting for part 2 of this project

By Serafeim L

Oct 1, 2020

Great overview of EDA with Seaborn


Sep 21, 2023

Useful content, easy to follow

By Asdrubal B

Jul 17, 2022

The course met my expectations

By Mahnoor S

Sep 25, 2023

Very well explained Project.

By Hitesh J

Jul 19, 2020

optimal course for beginner


May 30, 2020

Hands on was very useful

By Gangone R

Jun 28, 2020

very useful course

By Asha N

Jun 28, 2020

It was helpful

By Xavier M

Jun 2, 2020

Very Helpful !

By Sachin

Oct 26, 2020


By Mason L

Dec 27, 2021