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Learner Reviews & Feedback for Data Visualization with Python by IBM

4.5
stars
11,467 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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51 - 75 of 1,792 Reviews for Data Visualization with Python

By Kevin B

•

Oct 19, 2022

Warning for those whose native language is NOT English: These IBM Data Science courses are in DESPERATE need of review by a native English speaker. If English wasn't my first language, I can only imagine how much I would have struggled. It is pretty unbelievable that they expect people to pay money for courses that have so many many grammar, syntax, and audio transcription errors.

By Aylin B E

•

Mar 16, 2020

The video content was not extensive and it was recommended to study on labs for more detiled information, however, like many people who took the lesson, I had difficulty opening and using the lab labs.cognitiveclass.ai. When I wrote about the problem to the support team, they said they already escalate this issue to their partner to take care of it and fix it as soon as possible. I completed assigments and labs on a different compiler.

I'm disappointed about this course after all the good courses I took on Coursera. I hope they will fix the issue quickly.

By Yan C C

•

Jun 11, 2020

quiz had strangely tricky questions, which were not thoroughly covered in the videos. And as others have said, the final assignment challenged us to do a bunch of things that are out of the scope of this topic. It would have been much better if we had more guidance on setting up the groundwork to perform the visualizations. For instance, I had to figure out how to import folium into my notebooks, which took up some time - some direction might have helped with that. Overall, I did learn some from the material, but the experience could be way better.

By Hui A

•

Dec 28, 2019

I enjoy the IBM certificate programme in data science so far. But this course is a great disappointment because of the followings. 1) The clips are not organised which waste us time to read the same contents (i.e. how to clean up the data) for more than five times. 2) The instruction is not clear without going into the details of the coding. 3) Some of the images of the assignment are incorrect, misleading many of us to spend extra time to fix something that should not be fixed. Hope Coursera can redo this course.

By Laura A

•

Sep 16, 2023

This course definitely needs some work. The first three weeks I found good, but the fourth week focusing on Plotly and Dash is rather confusing and lacks detailed explanation. This also made the Second part of the final assignment of week 5 very challenging. The instructions were often confusing/unclear. Also, some of the exam questions were of very poor quality. A shame, as I really enjoyed the other courses part of the IBM Data Analyst Professional Certificate track. Please improve.

By Sarah W

•

Aug 26, 2019

The class is beneficial as it allows you to understand how to create visualizations of your projects. However, the final project for this class was very hard to understand. A lot of the parts that were expected to be completed were no where in the videos or labs. In the forum, you could tell because a lot of people were confused about the same stuff. Others and I ended up using other sources as a way to get the results Coursera was wanting, rather than what Coursera taught us.

By Jennifer B

•

Mar 12, 2020

This course does very little teaching. The labs demonstrate how to do things, but there is little explanation of why, and no theory about visualisation at all. Instead, students are simply taught to follow recipes. Also, for the past week, the IBM servers have been extremely unreliable. I haven't taken off any stars as it's not the fault of the teaching staff, but it's a bad look when an IBM run course can't actually get the IBM computing services to work properly.

By Gilles W

•

Apr 9, 2019

Videos are so so, the same introduction for all videos with 2 minutes of data formatting, which is exactly the same in all videos, leaving only few minutes at the end of the vid's for the content of the lesson. The examples in Jupyter were interesting but not very well structured. At the end, I better used Google and Pandas documentation to solve problems and learn about the topic. Not a bad lesson, but there are just more effective way to learn in my opinion.

By Madeline C

•

Aug 31, 2023

This felt especially poorly put together; not only were the solutions in the final projects just given out, but the solutions also were often incorrect due to typos. The final project involving a dashboard had a very messy dataset with at least one column not following the same capslock formatting, which is a problem that nearly everyone had in the discussions.

By Roman A

•

Apr 25, 2023

This is the worst course from the whole IBM Data Analytics specialization. Unstructured and brief videos, unclear and confusing readings. Week 4 and Final Assignment are complete disaster from the topic itself (dash is an overkill for unexperienced person, taking in account it's a web framework) to the poor course material.

By nicole r b

•

Jun 14, 2020

The videos are very repetitive and do not offer much in terms of preparation of the lab. They are very short and say the same thing about the structure of the data. The labs are very good but I had to spend time looking up solutions online that were outside of the taught material. The course really needs to be updated.

By Jeff S

•

Jan 8, 2021

Dislikes:

-Many videos repeated just over 1 minute of the exact same content reviewing the dataset.

-Videos were very brief and then exercises would be beyond concepts taught.

-lab contained thick code to prepare graphs but not explained.

Likes:

-Enjoyed creating the maps & learning about other visualisations.

By Roberto S

•

Jun 25, 2020

The provided material is really bad. I don't see the point of doing this course, when you have to search on internet how to do everything.

I learnt doing some things during the assessment, but not using almost any of the instructions given during the videos. They were completely useless.

By Sema K

•

Apr 11, 2020

It was by far the worst course I have taken in this specialization... You really should renwe the materials and add more labs, because video lectures are kinda useless. I am giving 2 stars out of respect for the effort given to put it here.

By Victor R

•

Dec 26, 2019

The video lessons just tell you that do some things are possible, but just in theory they would explain how to do it on labs, but the labs aren't so clear. There are days that I try to download the files for final assignment and the link doesn't work and the mentores don't answer. I didn't want to give one star to the course, because all of the other courses from IBM Data Science certification are so good, but unfortunately this course definitively doesn't scores higher than that, because I had to study on matplotlib and other libraries documentations in order to do the exercises.

By Shaun K

•

Nov 22, 2020

After having done a number of courses with IBM and coursera I have come to expect a reasonable level of thought and usefulness put into the content. Sadly this course does not have any of that. It primarily focuses on the most mundane issues in data visualization and uses trick questions in the quizzes to try to get a lower grade on students. I very much hope they redesign this course in the future and will focus on how to plot different types of data, looking at categorical information, showing trend lines, and things that actually matter.

By oguz o

•

Aug 10, 2019

by far the worst course of the whole certification program. Carelessly prepared content. Full of typo and mistakes. Quiz results are not even consistent. Different answers for the same question is considered wrong. If a question has two possible answers as multiple-choice, the answer should be one of those, right? Many of the videos are repeating each other. Very little information. Waste of time and money. If there was another way to get this certificate without taking this visualization course, I would pick that way.

By Ali R ( R

•

Oct 24, 2018

The course was not well organized. The instructor focused on providing very advanced content rather than simplifying the conpects in order to make it easy for the student to digest, and follow. In many times i had to search online to understand the content. Even in the final assignemt, it was asked to use many functions that was not itroduced before, and the attached files that were needed to answer the questions came with errors, and i had to search in stockoverflow to solve the attachments problems.

By Karan S

•

Jul 30, 2019

Arguably the worst course in IBM certification. There were problems everywhere. The code boxes weren't loading in quizzes. The overall peer guided assignment was a nightmare since they were demanding the part which was not even taught. To sum it all up, peers checked my assignment incorrectly. The assignment grade calumniation took so long than usual. Keep in mind I've done previous courses in this IBM professional certification.

By Dmitriy M

•

Jul 14, 2020

Worse course ever!

Don't waste your time - this course is just repetition of the same video "data cleaning" which is half of the whole course.

BTW they use outdated (unsupported) version of Python - Python 2. Not a big deal, but shows that the course itself is outdated. Other libraries used in the course are outdated as well - if you use latest versions you'll find some warnings or error because library has been moved forward.

By Timothy H

•

Jun 30, 2019

The videos are chopped together and the end-of-section quizzes are full of "gotcha" true/false questions and incomplete questions that will cause you to fail and wait the 8 hours until your next try.

The content is lackluster, the videos are cut together with differing audio quality, and the presenter couldn't sound more bored.

Not a good course. I just want to get through it to finish the specialization.

By Ramiro R

•

Sep 28, 2021

In the final assignment you lose lot of time troubleshooting or dealing with the errors in the provided skeleton code. You can see this yourself by reading just a few consultations in the disscusion forum.

The rest of the final assignment its just basically copy/paste on the empty slots, so not really learning more than what you can already learn by watching a youtube video.

By Montel H

•

Jun 29, 2020

This course should really just be the three lab sessions. The videos could be more helpful if they reinforced the labs, instead they gave very rudimentary descriptions of the charts. Aside from the geotagging lesson, the detail of the videos and even some of the lab content doesn't adequately prepare you for the course assignment.

By Angeliki M

•

Dec 2, 2019

By far the worst module of the IBM Certificate. The videos do not explain anything just repeat the same things over and over again and the things needed for the final assignment are not in the videos or the labs. It will take you forever to do the assignment in the end simply because you need to do lots of research on your own

By Abid-Ul K

•

Jun 12, 2020

The instructor skipped many things on the lectures expecting that the students will learn from the lab. The lab experience was good until I used the last lab on the last module. I couldn't run some functions. In the final graded assignment, the lack of proper tutorial on how to use JSON file, I felt like a failure.