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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
9,309 ratings
1,387 reviews

About the Course

"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....

Top reviews

AM
Aug 13, 2020

Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!

SS
Nov 20, 2019

It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)

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1176 - 1200 of 1,375 Reviews for Data Visualization with Python

By Jessica U

May 20, 2020

The assessments are a little silly- the quizzes trip you up on minor syntax instead of being concept-focused, and the final assignment used some skills that weren’t taught.

By Everett T

Jul 10, 2019

1) Quite a lot of contents of the final assignment are not covered in labs/videos

2) Huge portion of videos is redundancy and repitition

3) Labs cannot be exported to HTML

By Alex M

Dec 6, 2020

The instructor provided lots of useful code, but the final assignment is unnecessarily difficult because the required code customization was not covered in the course.

By asher b

Nov 27, 2018

Course was pretty good, except... The final project was too much of a stretch, had to google too much to figure stuff out that wasn't in the lectures or practice labs.

By Kristine M

May 31, 2021

T​he final project needs some review and updating. It was a frustrating couple of hours to try and get it working. I finally got it half way working and gave up.

By Courtney G

May 15, 2020

The final assignment required knowledge that was not thoroughly explained in the videos and labs. Some of the practice labs could use more/better explanations.

By Baptiste M

Nov 4, 2019

Overall a good review over the different graphs, yet the course feels wonky in the flow of this courses covering stuff already studied and staying on surface.

By pooja j

Jun 30, 2021

week 4 - no outtput received in dashboard in new window plus only errors received in jupyter notebbok even after copy paste of solution in entire week 4 labs

By Juan i B

Jul 3, 2020

Final Assignment covers many aspects that weren't explained in the classes. Meanwhile, every video repeats the same data management segment over an over.

By Soh J

Mar 19, 2020

Some of the content tested in the assignment is not covered by the lessons, staff is not fast and helpful in answering questions from students

By Stan M

Aug 18, 2020

Great course, very bad exam. Most of the stuff in the exam was impossible to do using the classes. Level of the exam was way too difficult...

By Nguyen T V A

Jun 1, 2019

Labs are very difficult and hard to follow. There is a big gap between what we learn from the videos and what we are asked to do in the Labs.

By Jingjing L

Feb 4, 2021

The final exam is way too frustrating as some content isn't covered in the course, especially about modifying the key for the last question.

By Tsungai J M

Oct 25, 2019

There some information gaps in the labs and lectures that made the assignment quite challenging without seeking further external knowledge.

By Kevin G

Oct 18, 2020

While the classes are interesting, the course should be updated.

Folium version is 0.11 now, not 0.5 anymore, and there is lots of changes.

By Lin W

Aug 3, 2019

The course content does not sync up with the assignment, you need to self-study about many other materials to get the certificate.

By Charles J

Apr 14, 2020

Actually I think the final assignment part 1 is too difficult for the videos and lab courses to draw the bar plot as required.

By Pedro F

Aug 24, 2019

Video explanations and difficulty of the assignments don't match. Unnecessary long and tedious exercises. Needs to be revised.

By Matteo E

Aug 1, 2019

The way topics are explained during lectures are not enough deeply treated for the final assignment. It is anyway interesting.

By Spataru N

Oct 23, 2018

Out of all IBM courses so far, I didn't like this that much. IBM should put more emphasis on teaching database transformation.

By Robert T

Jun 23, 2019

Not all of the tutorials rendered correctly. Information was good. Would have preferred more questions throughout the videos.

By Paweł K

May 2, 2019

Peer grade assignment in this course is far too hard and packed with a bunch of topics not directly covered in the curse.

By Mohammad Q

Aug 23, 2019

Great overview course, I wish if there longer videos that explains the content.. not just trying to do the lab by myself

By Ramsrinivas A

Jan 2, 2020

Part about Maps can be some what more extensive. The Thing taught in Lesson and Assignment does not maps section alone.

By amir s

Sep 9, 2019

In general, it was a good course.

Some of the quizzes were very much based on syntax which I don't think is very useful.