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

4.6
3,446 個評分
373 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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251 - Data Visualization with Python 的 275 個評論(共 367 個)

創建者 krantiveer s

Apr 08, 2019

great course content but it should be more disciptive

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 Fish

Feb 27, 2019

feel confuse in the homework

創建者 stijn d b

Mar 10, 2019

most interesting course in the IBM python series

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 Tiffany W S

Sep 25, 2018

This course and the following course "Data Analysis with Python" should be switched. It's mentioned that "Data Analysis with Python" should be completed before this one but they are in the reverse order.

創建者 Lena N

Sep 26, 2018

The best parts of the course were the labs and the final assignment. I spend a lot of time at the labs, paying extra attention to the details and often following the external links suggested by the instructor. I found the final assignment very interesting with good explanations step by step and I especially liked how the instructor were present at the discussion forums.

The weakest part of the course were the videos, I think I could have skipped them altogether. The information mentioned in them were elaborated much better at the labs. Also, for some reason, 1/3 of each video was exactly the same clip recalling the dataset. That felt a bit useless and loss of time! On the other hand, each video was a couple of minutes long so no big deal in the end.

創建者 Abby M

Oct 08, 2018

The course had a great examples and samples for common and uncommon visualizations. The course lacked the background to be able to import the geojson properly for the final though.

創建者 Teodor-George C

Oct 30, 2018

good basics + interesting things like maps. Only 4 stars because I find map visualization interesting but not very useful

創建者 Alexej Z

Nov 01, 2018

Some tests are not comprehensible in their entirety and can only be carried out with a great deal of effort. Otherwise very good content. I could learn a lot.

創建者 Oriana R

Nov 01, 2018

Honestly, out of all the courses I've taken so far, this one was the best, in terms of presentation. The instructor repeated a lot of the formatting for each code block and by the end, one could easily remember what code to use for the specific visualizations.

The only reason I did not give 5 stars was because I thought the final assignment deviated a bit, but otherwise, a good course.

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 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 Raj K

Jul 09, 2018

Great course :)

創建者 Gajula J

Jul 26, 2018

nice course but needs few improvements, screen recordings needed rather than slides.

創建者 Sili L

May 01, 2019

The class is too short to get into much details. The projects are much harder than those practice labs.

創建者 Phenil B

Apr 17, 2019

Videos were short and could have explained the lab work better. Also, the Data was discussed in every single video which was annoying and I always skipped 30 seconds in every video.

The course itself is nice.

創建者 Nigel A R H

Apr 16, 2019

Notebooks are very practical

創建者 Florent M

May 07, 2019

Cours intéressant et évaluation pertinente. Il est cependant plus optimal de s'appuyer sur des ressources externes pour avoir accès à des mémos sur Pandas et Matplotlib (il y a de très bons sites là-dessus).

創建者 Teofilo E d A e S

Apr 30, 2019

Complex and need more information.

創建者 manpreet

May 25, 2019

Increase my knowledge immensely.

創建者 Amy P

May 26, 2019

Once again, quality hands-on labs were the highlight of this course (as has been the case throughout the IBM Data Science Certificate courses). The end-of-week quizzes were also a bit more difficult/involved, which was a good challenge. Still, I think there's room to increase the difficulty a bit further - after all, you can re-take the quizzes if at first you don't pass. I appreciated that the final project gave us the opportunity to apply a wide range of the skills that we learned.

That being said, I think there was quite a bit of fluff in the lectures. I would have preferred more content/exposure to other libraries rather than the redundant "data recaps" at the beginning of almost every video. I also would have appreciated more theory/recommendations for selecting the best visualization for a given application.

創建者 Benoit P D

Apr 28, 2019

I learnt a lot about pandas, matplotlib, seaborne, data visualization (different types of plots), folium and wordcount. Overall the course is very good. The jupyter notebook assignments are very nice. Folium is fairly bleeding edge so a lot has changed between the last version of the library and the one currently used by the assignment.

創建者 Veronica A S

Apr 28, 2019

Good

創建者 Matthew A

May 28, 2019

OK overall - but I wish there were more and smaller hands-on exercises. Also, waiting to load 3rd party libraries in exercises is quite slow (3-5 mins for choropleth, for example) - it would be nice if these could be pre-loaded somehow.