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學生對 IBM 提供的 Data Visualization with Python 的評價和反饋

4.6
3,365 個評分
363 個審閱

課程概述

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

熱門審閱

MS

Jul 30, 2019

This module is extremely important for Data Scientist. This module gives you the confidence on how to explore, manage, display and visualize data concept to meet end-users requirements...

RL

Aug 08, 2018

Excellent tutorials, great labs and fun exercises - visualization is one of the most satisfying things about data science, and it is no surprise that this course is very enjoyable!

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226 - Data Visualization with Python 的 250 個評論(共 362 個)

創建者 Rick L

Aug 07, 2019

What a cool stuff! This really motivates me to learn Python!

創建者 Sheen D

Aug 12, 2019

Enormous amount of information, I personally cannot retain of that. It will be the best to review occasionally.

創建者 Deborah B

Aug 12, 2019

This course was fun, interesting and challenging. The final assessment was a true challenge because it require a combination of materials that were covered in the course, but also required a bit of additional information and expertise as well. Finishing those assignments gave me much more confidence in my ability to perform these kinds of assignments in real engagements and assignments.

創建者 Lawrence L

Aug 10, 2019

Labs in this course are excellent, no errors in the course content. The best of the specialization so far.

創建者 Nava R B

Aug 20, 2019

A very nice and detailed course (labs of course) for the entry level python data visualization

創建者 hassan u s

Aug 19, 2019

Nice concepts. real need of this course for every data scientist.

創建者 Arnab K C

Aug 19, 2019

nice.

創建者 Guy P

Dec 10, 2018

Very good course but labs contained many typos which were sometimes confusing

創建者 Varun V

Jan 01, 2019

Nice course. But Seaborn examples could have been more helpful. Also, please use Python 3 for examples. Thanks for the video and more better class labs.

創建者 Nicklas N

Jan 29, 2019

A good overview of different visualization methods in Python. The final assignment is a little tricky and requires a diverse set of Python skills.

創建者 Zhang R

Nov 20, 2018

The materials are OK, the labs are really helpful, but the test-related data files that needed are hard to get. In fact, some of the csvs required to complete the test are out of time, and students can only get the data through the forum, that's a pity.

創建者 Alistair J W

Nov 24, 2018

This was the most challenging course thus far in the IBM Data Science concentration. The quizzes are as simple as the earlier courses but the final programming assignment is much less cookie cutter and required substantial reading of the matplotlib API. As a result I think it took longer and I learned more than in previous courses.

創建者 Mbongeni N M

Nov 22, 2018

This course was thorough. However, we could have been prepared better for the final assignment. I had to rely on the internet a lot to complete it. I don't know if that was intentional. If it was, then it should have been stated explicitly. Otherwise, well done and thank you!

創建者 Serdar M

Nov 26, 2018

more explanation on functions' and methods' parameters needed

創建者 Shawn F

Jan 09, 2019

assignments are using too many techniques which tutorial videos are not included

創建者 Liam M

Jan 23, 2019

Really helpful, but some of the more complex topics are glossed over and require extra reading.

創建者

Jan 23, 2019

Good, but maybe the course focus too much on Folium and not enough on Seaborn.

創建者 Yang D

Feb 15, 2019

All the course is good except the final assignment

創建者 Fish

Feb 27, 2019

feel confuse in the homework

創建者 Jess M

Feb 28, 2019

The videos are nice and clear, the visualizations are beautiful, and I'm sure that all of the libraries presented are extremely useful. But this course is not well-suited to students who have no prior background in Python before taking the Applied Data Science specialization. I look forward to coming back and maybe having a shot at understanding the code in the labs after I take a Python programming course. The long chunks of code presented here are mostly opaque if all you have are the previous courses in this specialization.

創建者 Magnus B

Mar 11, 2019

The information provided was straightforward and easy to understand. However, the final lab requires extended knowledge that is not covered in the videos.

創建者 stijn d b

Mar 10, 2019

most interesting course in the IBM python series

創建者 Alvaro L F

Mar 18, 2019

It would be good to make another section only for seaborn or bokeh

創建者 Samantha R

Mar 19, 2019

Quite an extensive course - as a beginner it went a bit over my head at times. The Assignments were challenging and the final one was a bit dissapointing - not all the elements were covered in the labs so had to trawl the internet looking for answers. Learned alot though

創建者 Marian G

Jan 14, 2019

Assignment has been frustrating