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

332 ratings
56 reviews

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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51 - 56 of 56 Reviews for Exploratory Data Analysis with Seaborn

By Raj v

Jul 14, 2020

Explanations could have been more detailed. Parameters should be explained.

By Nikhil A

Jul 3, 2020

Should have used more plots only 5 were there,but it was good

By Andrea C

Nov 20, 2020

Good course for beginners, not for intermediate learners

By Amrendra P S

Aug 30, 2020

Didn't learn much in this course. Just write the same code as explained in the videos and also the Instructor was not explaining thing in deep. This course I found worthless. It will be better if I had done some other courses rather than devoting my time for this

By Linyu W

Aug 10, 2020

Not specific or even systematic. There're supposed to be more function in seaborn usefel for EDA

By Fuat A

Jun 1, 2020

Not worth the money.