Chevron Left
Back to Data Visualization with Python

Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,819 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.

Filter by:

1526 - 1550 of 1,858 Reviews for Data Visualization with Python

By Ward N

•

Aug 18, 2021

The final project was overly difficult. I spent 3 weeks on it! 3 weeks! I kept trying it in different environments, including Google Colab, as some suggested. It would not function at all in JupyterLabs, so don't waste your time. Use Theia!

By Sohom C

•

Jul 15, 2020

The course is good but the final assignment is quite tough for someone who is learning this for the first time. One better way to approach this course is to break down the codes line by line which makes the learner to pick up quickly.

By Muhammad Y

•

Jan 16, 2020

The Course Was Perfect And Was The Lab.The only thing that was so annoying was intructor just give a brief introduction and left the topic with lot of confusion.Lab was annoying to it was very hard to open and was giving so mcuh error

By Ashraf

•

Feb 10, 2020

The course would require revision to introduce the concepts in a simplified matter with different data sets. I also believe a lot of the detailed concepts are left for the course takers to explore to fully comprehend the material.

By Rohith P R

•

Apr 19, 2020

Need more concepts to be discussed for modifying charts using artist layers. 25% final assignment was based on artist layer, but the different options of artist layer are not explained like ax.spines 'top' .set_visible(false).

By Shan C

•

Nov 17, 2019

The data visualisation videos are repeating itself most of the time, but the final assignment is super hard, which many of the details were not mentioned in the courses materials - no clues to do the assignment at all..

By Nehuen L B

•

Mar 20, 2024

The course content presents challenges that go beyond what has been previously taught, and I felt that the difficulty of the tasks regarding Dash and the web dashboard does not match the level of knowledge provided.

By LaShi H

•

Nov 14, 2021

Overall, the course is informative and enjoyable. The final assignment was a bit of a pain. It was not a difficult exercise, the tools to complete the assignment do not work properly and make the assignment tedious.

By Nicholas F

•

Nov 24, 2020

This was a pretty sloppy course. Assist with learning before insisting that any of your students make progress with their coding. Many of the basics were overlooked, mentioned in passing, or skipped completely.

By Adam J L J H

•

May 25, 2020

I think that more explanation about the syntax could be taught within the videos. As of now, most of the syntax is being taught within the hands-on lab practices which does not offer much explanation to it.

By Ivan M

•

Jul 16, 2020

The assignment was way more complex than the content of the lessons. It was hard to find ways to complete the assignment correctly with the information we had at our disposal in the lessons or the labs.

By Ashish D

•

Dec 22, 2019

Does the job of a good introduction.

Very limited and restrictive practice and assinments.

For a true learning experience one needs to do a lot of external research and work to show a measureable benifit.

By Md A A M

•

Nov 23, 2020

Course assessment criteria should be more robust and comprehensive. I would like to request you to improve the course contents, test criteria and programming tasks to better enhance the understandings.

By Ricardo R O

•

Oct 20, 2021

II think it was missing a lot in relation to Plotty and Dash, I don't understand a lot of things, and at the end I would have liked the other packages to have been touched, but it's a good course.

By Pouyan K

•

Jun 22, 2019

The final exam is really vague and not organized. It would be a much better course if the instructor made exam in the JupyterLab like other courses. Also, the videos are not very comprehensive.

By Nikhil J

•

Apr 19, 2020

The content of the course is good. But, it was not gripping or engaging. Probably, because the instructors voice was inconsistent, modulations and variations. Overall, ok. But NOT satisfactory.

By Daniel M

•

May 14, 2021

I really enjoyed the course up to the final project. It should be rewritten / thought through. So many issues with the project - networking / right tool / right browser. Extremely frustrating.

By Josephine C

•

Jun 19, 2020

I feel like these courses could use more detailed explanations of functions and their parameters. It is one thing to learn from examples and on other to really understand how the tools work.

By Andrea E

•

Dec 19, 2019

PRO:

Content

CON

recurring technical issues (data on final assignment not available )

description of final assignment not clear / inconsistent to previous courses, no jupyter notebook provided

By Kailas K

•

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

•

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

•

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

•

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

•

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

•

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