Chevron Left
Back to Exploratory Data Analysis with Seaborn

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

4.6
stars
393 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

HP

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.

PG

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.

Filter by:

1 - 25 of 66 Reviews for Exploratory Data Analysis with Seaborn

By Ravi K

Apr 21, 2020

By Rob O

Apr 23, 2020

By Anees A

May 3, 2020

By Suhaimi C

Nov 18, 2020

By Pavithra K

Aug 1, 2020

By Abhijit T

Apr 9, 2020

By ASHISH M

May 3, 2020

By Ujjwal K

May 10, 2020

By Punam P

May 15, 2020

By Mukund P

May 13, 2020

By Rishabh R

May 17, 2020

By Dr M M S

Nov 8, 2020

By Shri H

Nov 7, 2020

By Nesmary G M D

May 14, 2022

By RADUL R D

Jun 12, 2020

By Hector P

Sep 7, 2020

By Pawan K G

Oct 4, 2020

By Sayak P

Jun 26, 2020

By Asmae A

Apr 10, 2022

By HAY a

Jun 29, 2020

By Aditya T

Nov 5, 2020

By Gourav K

Jul 27, 2020

By Srikanth C

Jun 16, 2020

By omkar

Jun 10, 2020

By Mohamed A E S

Jul 31, 2022