Chevron Left
返回到 Exploratory Data Analysis with Seaborn

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

4.6
385 個評分
66 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....

熱門審閱

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.

篩選依據:

26 - Exploratory Data Analysis with Seaborn 的 50 個評論(共 66 個)

創建者 Johannes J B C

2020年7月9日

one of the best coursera guided project IMO. the teacher speaks fluently and explains good enough.

創建者 Alex K

2020年12月7日

Well explained, hands-on course that is very practical for anyone wanting to get better at EDA.

創建者 ahmet s

2020年12月16日

Clean, simple and quick. I recommend this course to anyone who needs an insight from seaborn.

創建者 Shubham K K

2020年9月17日

Nice course telling the basic functionality of data visualization with python .

創建者 Adolf Y M

2020年10月10日

all is explained very well so i can get a good understanding of EDA

創建者 Minhaj A A

2020年6月1日

Good project to practice your visualisation skills using seaborn

創建者 Marwa A E

2020年6月13日

More than perfect course, amazing and simple. Thank you :)

創建者 DEEPA K

2020年7月28日

An easy to understand project with good explanation.

創建者 c s s

2020年6月8日

this was a beautiful learning experience!

thank you !

創建者 Cheikh B

2020年7月14日

very helpfull project to learn easier seaborn

創建者 Arnab B

2020年9月19日

Good instructions for absolute beginners

創建者 Serafeim L

2020年10月1日

Great overview of EDA with Seaborn

創建者 Asdrubal B

2022年7月17日

The course met my expectations

創建者 Hitesh J

2020年7月19日

optimal course for beginner

創建者 MRS. S D A

2020年5月30日

Hands on was very useful

創建者 Gangone R

2020年6月28日

very useful course

創建者 Asha N

2020年6月28日

It was helpful

創建者 XAVIER S M

2020年6月2日

Very Helpful !

創建者 Sachin

2020年10月26日

Brilliant!!

創建者 Mason L

2021年12月27日

Excellent!

創建者 Jitin S

2020年9月8日

HE IS GOOD

創建者 Deepak K

2020年11月1日

Thank You

創建者 GURUSUBRAMANI. S

2020年5月24日

Good one

創建者 tale p

2020年6月17日

good

創建者 Abhishek P G

2020年6月14日

good