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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,487 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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1476 - 1500 of 1,795 Reviews for Data Visualization with Python

By Collin C

•

Jan 8, 2020

The information was valuable and generally well explained. The final was a massive failure; the classes and examples prepare us for maybe half of the questions, but all the questions depend on building off each other. The only way to pass is to Google for hours.

By Pablo D B

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Jul 19, 2019

I had many issues when people marked my final assingment. Maybe the indications should be clarified. For example some people didn't gave me the points for not showing the dataframe with the rows in the same order, although all the rows were respectively correct.

By Eunice C

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Jan 9, 2020

not too practical over the course, a lot of theory based which is great as well. But I personally not a big fan of the Watson studio as it's not user friendly. I have to go through a lot of layer on their site before getting to the studio or the notebook.

By Pelin Ö

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Aug 3, 2020

Not much on videos, I could find the info in the labs in other courses. It took me very long time to submit my assessment, I had to buy another course to get back on track here. I was demotivated. This course was the least satistfactory among all..

By Odontecete

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Mar 14, 2021

THE FINAL ASSIGNMENT WILL NOT WORK. PERIOD. NOBODY ANSWERS ANYTHING IN THE DISCUSSIONS. THE CODE THAT IS GIVEN IS FULL OF SCRIPTING ERRORS. AND NOBODY CAN GET JUPYTER CONFIG TO FREAKING CONNECT.

PLEASE FIX THE FINAL ASSIGNMENT SO THAT IT WORKS!!!

By Jan M

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Aug 1, 2020

Topics were interesting, but the amount of new code being explained dramatically decreased. Also the final assignment was nightmare-ish as I was often forced to make code that wasn’t discussed in the previous videos and labs.

Overall frustrating

By Ward N

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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

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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

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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

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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

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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

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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 Lian

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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