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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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1151 - 1175 of 1,795 Reviews for Data Visualization with Python

By Descha D

•

Dec 9, 2019

Extremely challenging final project. The specificity of how the bar graph was to be labeled was, quite frankly, maddening. I don't remember having encountered a single whiff in the course of how one should proceed with the labeling in the very middle column of a bar graph.

By Marcus H

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Oct 31, 2022

Course was very good, but uploading final assignment was a bit missleading, beacause you have no opportunity to show the whole dropdown menue with all the years included. There is always only a selection shown in browser. So screenshots to make aren t´the best solution.

By Samantha R

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Mar 19, 2019

Quite an extensive course - as a beginner it went a bit over my head at times. The Assignments were challenging and the final one was a bit dissapointing - not all the elements were covered in the labs so had to trawl the internet looking for answers. Learned alot though

By Izabela K

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Aug 31, 2019

Course is great but the part with Folium should be separate course (some Advanced Visualization) rather than graded part of this corse. Instead of using Folium in final project it would be better to use some Seaborn advanced visualizations or other plots in Matplotlib.

By Vincent Z

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Mar 28, 2019

The most interesting course in the specialization up to now, for me at least. A brief but informative overview of all kind of plots that can be done on pandas dataframes.

To the course author: repeating the data wrangling/cleanup in EVERY video gets annoying.

By Stamatios G

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Mar 23, 2020

Although the content of this course is very interesting and has a lot of depth in the field, I believe that it needs further improvement, specifically with more examples in the labs, in order to get a better hang on the different types of visualizations.

By Aowuu

•

Nov 20, 2018

The materials are OK, the labs are really helpful, but the test-related data files that needed are hard to get. In fact, some of the csvs required to complete the test are out of time, and students can only get the data through the forum, that's a pity.

By Rabot'ko D N

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May 23, 2021

Hey! Thanks for the course. At the beginning everything was good and understandable, but at the end of the course the teaching material was not sufficiently developed. In the laboratory, it is necessary to describe more actions and possible solutions.

By Travis T

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Jun 26, 2020

Overall the content of this course was good. There were some headaches with getting folium working. It was annoying listening to the description of the dataset we've been using for half the video every video. But it did help with learning matplotlib

By Filipe S M G

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Aug 26, 2019

Short videos but well-worked notebooks with many examples on Visualizations with Python. Exercises had tricky questions that the student must pay attention. The final assignment is difficult, since it uses some features not explained in the classes.

By Ajay K S

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May 1, 2021

It is a great learning experience, but if course staff can look into issues candidate face it will help them. But for me it was a challenge as am i am new to programming. Thanks to forums and of course Google and python community for big support.

By Aleksandr V

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Oct 16, 2019

While the course was very good and showed lots of different data visualizations available in Python, the final assignment required topics that were just briefly touched upon and required quite a bit of outside research to figure out the syntax

By preeti p

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Aug 28, 2020

Mostly really good. great practical projects. would have liked a few more practice sets to better understand some of the unfamiliar concepts that popped up in final assignments, but other than that i really liked it, great helpful TA as well.

By Ruiping W

•

Apr 28, 2020

This course is interesting to learn and the final assignment is not something you can copy from the lab sessions and easily pass, which is good. However I noticed the questions posted on discussion forum are rarely answered by teaching staff.

By Jacqui T

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Mar 29, 2020

Labs are very interesting. Would suggest including more data wrangling techniques (to better align with the final assignment), and removing Mapbox Bright references. On the whole, this was a far more interesting module than I had expected.

By PATEL D K

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May 3, 2020

The Course helped me to clear my doubts and made my concepts of Data Visualization more strong.

The Ungraded assignments helped me to apply the concepts in practice. The quizzes were easy and I think there should be more questions in quiz.

By Matthew A

•

May 28, 2019

OK overall - but I wish there were more and smaller hands-on exercises. Also, waiting to load 3rd party libraries in exercises is quite slow (3-5 mins for choropleth, for example) - it would be nice if these could be pre-loaded somehow.

By Namhoang

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Apr 10, 2022

Course provided very detailed introduction and lab sessions were great however at of today April 11,2022. A few line of codes have been deprecated, though it might (or not) affect the experience, I hope the course will be updated soon.

By Paul R K

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Aug 16, 2019

Good intro to matplotlib, visualization of dataframes. Some of the more advance content, e.g. choropleth maps, relies on older versions of some of the python packages (folium) so the examples need to be updated for the newer versions.

By tal h

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Jun 14, 2019

the course is great, however, I think matplotlib's structure should have been explained in greater detail, this would help the student to accelerate the understanding of the library's documentation and implement his visualizing needs.

By Luis A A

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Sep 13, 2021

Great module to learn about the most common different types of plots we could generate with Python coding. I would suggest to deepen more in Matplotlib's Pyplot scenarios, including tick, label, legenda nd filling options.

By Leonardo J C

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May 25, 2020

I enjoyed the course to the fullest. My only complaint is regarding question number 2 in the final assignment. The bar chart that we were requested to create and display is not shown in the videos or labs how to create it.

By ReÅŸat C B

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Jun 7, 2020

Generally good content with great lab additions except for Folium. Folium 0.5.0 is outdated (it is 0.11.0) now and the choropleth method is deprecated. Also, the final assignment threshold label differs between versions.

By Kenneth C H K

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Jan 8, 2020

Course content is good. But there're some replication for each video about "recap of the data". The final assignment is quite difficult because I need to find some codes from the internet to meet some task requirements.

By L. F

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Jul 16, 2020

After learning, I still feel a bit confused. I think it would be better if there is a comprehensive summary, such as: what graphics use which imports, and the comparison between the coding required by each graphic