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學生對 Coursera Project Network 提供的 Exploratory Data Analysis with Seaborn 的評價和反饋

227 個評分
37 條評論


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....



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.


Jun 30, 2020

The course is a great course for a data scientist! Very practical and I like the way the instructor explains the concept and the interpretation of the data.


26 - Exploratory Data Analysis with Seaborn 的 38 個評論(共 38 個)

創建者 Asha N

Jun 28, 2020

It was helpful


Jun 02, 2020

Very Helpful !


May 24, 2020

Good one

創建者 tale p

Jun 17, 2020


創建者 Abhishek P G

Jun 14, 2020


創建者 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.

創建者 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!

創建者 Rui L

May 19, 2020

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

創建者 Anil S

May 30, 2020

Good Course with clear instructions


Jul 15, 2020

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

創建者 Nikhil A

Jul 03, 2020

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

創建者 Linyu W

Aug 10, 2020

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

創建者 Fuat A

Jun 01, 2020

Not worth the money.