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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,492 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

LS

Nov 27, 2018

The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.

CJ

Apr 22, 2023

Learnt a lot from this visualization course. The one I found most interesting was making the dashboard. Although sometime the code and indentation are tedious, but this might be useful in the future.

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1501 - 1525 of 1,795 Reviews for Data Visualization with Python

By Kailas K

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Oct 14, 2019

The videos are very short compare to exercise covered. Assignment gives overview of how much deep the coding can go but video should be elaborating few aspects of layers of matplotlib.

By Dr S K

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Oct 29, 2018

Again I cannot access the cognitive class ai and this has truly hindered my learning experience. I cannot open any jupyter notebooks nor can I submit any assignments, This is really bad

By Oxana

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Sep 26, 2022

The info related to Dash by Plotly is rather complicated. There should be included more details about how the Terminal works and why graphs are not being shown on the final dashboard.

By Carol L

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Jan 15, 2020

Me pareció super interesante el curso, pero los videos muy cortos dejando todo el material para el lab, y el final assigment con solicitudes que no fueron explicadas durante el curso.

By Rajrishi N

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Aug 9, 2020

I am unable to reset the timelines for this course. I missed the timeline due to an emergency and the course is now frozen and I am unable to complete it. Please unlock the course.

By cc

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Dec 13, 2021

Great content but hard to follow at some point. Lab is very unstable. Final peer review project is not appropriate and did not use the most common data visualization techniques

By rorschach p

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Dec 22, 2021

I think the final project should add more difficulty and tasks. Or provide the option to choose the difficulty level base on the learner's python and data science experience.

By Jessica U

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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

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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

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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

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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 Claudiu I

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Sep 23, 2021

The lab excercises are too time-consuming, for reasons unrelated to the course material. I found it hard to simply run the programs in the development environment

By Kristine M

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May 31, 2021

The 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 David C

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Mar 17, 2022

The course starts out great with some insight into Matplotlib but gets very hung-up on Cognos and Dash and approaches something similar to Java web development.

By Courtney G

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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 Pranav C

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Oct 26, 2023

dash components have been depracted and yet this course hasnt been updated , some parts are hard and too much of a jump in final project in terms of difficulty

By Baptiste M

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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

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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 Andre M

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Jun 12, 2023

MIxed quality of the videos / labs. I found the labs about Matplotlib in Jupyter excellent, the part regarding Plotly and Dash were not so well explained.

By Juan I B

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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

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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

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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

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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

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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

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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.