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Learner Reviews & Feedback for Data Visualization with Python by IBM Skills Network

4.5
stars
10,764 ratings

About the Course

One of the most important skills of successful data scientists and data analysts is the ability to tell a compelling story by visualizing data and findings in an approachable and stimulating way. In this course you will learn many ways to effectively visualize both small and large-scale data. You will be able to take data that at first glance has little meaning and present that data in a form that conveys insights. This course will teach you to work with many Data Visualization tools and techniques. You will learn to create various types of basic and advanced graphs and charts like: Waffle Charts, Area Plots, Histograms, Bar Charts, Pie Charts, Scatter Plots, Word Clouds, Choropleth Maps, and many more! You will also create interactive dashboards that allow even those without any Data Science experience to better understand data, and make more effective and informed decisions. You will learn hands-on by completing numerous labs and a final project to practice and apply the many aspects and techniques of Data Visualization using Jupyter Notebooks and a Cloud-based IDE. You will use several data visualization libraries in Python, including Matplotlib, Seaborn, Folium, Plotly & Dash....

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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1401 - 1425 of 1,652 Reviews for Data Visualization with Python

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 Liezl M

Jul 31, 2022

The topics were not discussed in enough detail. It required me to do a lot of additional research online to actualy understand the concepts.

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 Tania P

Aug 16, 2022

The labs need to be improved. They were had to follow and there was a lot of trial and error involved in order to complete the course.

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 Rahardito D

Sep 29, 2021

Data Visualization with Python Course must be used on a certain date so that it is quite distracting to the target participants

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 Fan B

Jan 4, 2022

not good, many typo in the lab instructions, many times the lab wont work out, i think this issue realy needs to be fixed.

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.

By Sowmya S

Feb 19, 2021

The course is good. However, instructions, support and details to actually help you learn and understand is useless.