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

4.6
344 個評分
60 條評論

課程概述

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....

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HP
2020年9月7日

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
2020年10月3日

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 - Exploratory Data Analysis with Seaborn 的 60 個評論(共 60 個)

創建者 Vishnu N S

2020年12月9日

GOOD start.. more api could be added

創建者 Anil S

2020年5月30日

Good Course with clear instructions

創建者 Anirudha S

2021年5月23日

Thank you. It was great.

創建者 Raj v

2020年7月14日

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

創建者 Nikhil A

2020年7月3日

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

創建者 Andrea C

2020年11月20日

Good course for beginners, not for intermediate learners

創建者 Amrendra P S

2020年8月30日

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

創建者 Linyu W

2020年8月10日

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

創建者 Alireza R

2021年4月17日

Very basic!

創建者 Fuat A

2020年6月1日

Not worth the money.