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Voltar para Exploratory Data Analysis with Seaborn

Comentários e feedback de alunos de Exploratory Data Analysis with Seaborn da instituição Coursera Project Network

265 classificações
41 avaliações

Sobre o curso

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....

Melhores avaliações


Sep 08, 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.


Jun 26, 2020

This was my first guided project . It was a nice experience and the course material was truly helpful for me. The instructor's pace of teaching was absolutely stunning.

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26 — 42 de 42 Avaliações para o Exploratory Data Analysis with Seaborn

por MRS. S D A

May 30, 2020

Hands on was very useful

por Gangone R

Jun 28, 2020

very useful course

por Asha N

Jun 28, 2020

It was helpful


Jun 02, 2020

Very Helpful !

por jitin s

Sep 08, 2020



May 24, 2020

Good one

por tale p

Jun 17, 2020


por Abhishek P G

Jun 14, 2020


por Gilsiley H D

Aug 03, 2020

A basic course. For me show a good idea about exploratory data analysis and some important insights about using some graphics like violin, swarm and heatmap. I felt absence a conclusion, like show a final features can be selected.

por Divya R

Jul 01, 2020

I find this project a way better means to explore data analysis than the month long courses. This was a good quick refresher for me. Beautiful project, i hope to see many such more projects from the Mentor!

por Rui L

May 19, 2020

A good tutorial for starters in Data Science. All knowledge taught in it is some basic.

por Anil S

May 30, 2020

Good Course with clear instructions

por Raj v

Jul 15, 2020

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

por Nikhil A

Jul 03, 2020

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

por 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

por Linyu W

Aug 10, 2020

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

por Fuat A

Jun 01, 2020

Not worth the money.