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學生對 IBM 提供的 Data Visualization with Python 的評價和反饋

10,081 個評分
1,527 條評論


"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....




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.



Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!


1376 - Data Visualization with Python 的 1400 個評論(共 1,522 個)

創建者 Ricardo S


Videos could have been a bit more engaging

創建者 Debra C


Course was okay, not great but worthwhile.

創建者 Gabriel d C C


Muitos problemas com ferramentas externas



All the time practice lab is not working.

創建者 LIM K W


Easily encounter 503 errors for the labs



Need to improve more please

創建者 Marina H


Some code did't work in Labs

創建者 Biswa B


I didn't like this course.

創建者 Anmol P


More content and examples

創建者 Em


The labs are very buggy.

創建者 Naman S


Could have been better




創建者 Mark P


JSON links are broken.

創建者 4004_Musfiqul A


Need more hand notes

創建者 pranav s


I found it boring

創建者 Adil J


Can be better

創建者 Shreyas R V


course is ok

創建者 Gloria S


too basic

創建者 Fabio B


Too basic

創建者 Vu C T


創建者 Natasha d T


Beware: Only do this course if you're ready to be frustrated and confused beyond your wildest expectations. Week 1, 2 and 3 starts out well enough, but in week 4 you get hit by brand new work that never gets explained to you. Firstly, the labs just 'give' you the code layout. No explanation, just: this is how it is, live with it. Secondly, they changed from Jupyter to an IDE based on THEIA. It is horrible, impossible to view your code as a whole, full of bugs and hard to navigate. Just scrolling in it was like a course on its own.

In week 5 you get the biggest shock of all: the final assignment is solely based on the work that wasn’t explained to you, in an IDE that makes you want to pull your hair out. I struggled for a day and a half with the assignment. Most of the time was spent battling with the IDE. I had to reopen it at least a dozen times (frozen, files won’t open), and that is when you learn the hard way that all your work gets wiped out when you do. So, copy and paste your work in Word or GitHub, you will need it. There is also an error in the code provided by them. I’m not sure if that was part of the assignment, but it seems very cruel.

One positive: between being given an impossible task and Coursera taking forever to answer cries for help, you become a master at troubleshooting. You have no other choice. Maybe that was the point of the course. If it was, I passed with flying colors. Unfortunately, I cannot say the same about Data Visualization with Python. Just doing work based on instruction, and never really understanding why you are doing it, is no way to build a solid foundation for future learning.

創建者 Matt N


T​here is a section of the videos about 1.5 minutes long where you have to listen to "Now lets process the data frame so the country name becomes the index of each row. This should make retrieving rows pertaining to specific countries a lot easier. Also lets add an extra column that represents the cumulative sum of annual immigration, from each country, from 1980 to 2013. So for Afghanistan for example it is 58639 total, and for Albania it is 15699 and so on. And lets name our data frame DF_Canada".....

T​his replays in each of the what 10-12 videos or so... It adds no value whatsoever because its just saying that same thing without actually showing how we accomplished that. So its a loop about half the size of each video with non-pertinent information. Fast forward to week 4 and we suddenly jump into Dash. I found Dash to be very interesting, but the learning curve was steep since we didnt really discuss Dash in any of the videos. You are learning it purely off the workshops which uses an IBE that we do not use in any of the other courses in the Data Analyst Certification series.... I would recomend adding value content to the videos and not relying as heavily on the self directed labs to do the training for this course.

創建者 Ian R


This course needs some significant remodeling in order for users to feel like they learned something from this course. I couldn't finish the final assignment because visually speaking, it was so hard to follow. Furthermore, the final assignment was creating a dashboard, which covered Week 4. There was no graded assignment that covered Weeks 1-3. Luckily, that material was easy to follow. Not sure what the point of having the material for Weeks 1-3 is if we are not going to be tested on this material via a final assignment.

To make this course more worthwhile, I think there should be a graded peer review assignment for Weeks 1-3, so learners have a chance to test their knowledge on this material. Then have an assignment that addresses dashboards. I also think it would be easier the dashboard assignment in IBM Watson Studio.

創建者 Soubir D


I spent more time trying to fix "localhost refused to connect" and other errors from the end of course management, while submitting my final assignment, than on doing the actual course or assignment - it's not a very efficient way to test a newbie like me who isn't familiar with these various environments.

Also, when there's no instructor speaking to you and it's just robotic voice and text, it doesn't feel much like an educational course and is off-putting. The lectures were also way too short and flew through concepts too quickly. The only mitigating factor was the labs which were decent and the only thing that actually aided my learning rather than being a hindrance. I hope you don't take this the wrong way, but I'm unsubscribing from this course. Thanks anyway.