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.
Aug 13, 2020
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!!!
By Fabio B•
Mar 15, 2019
By Vu C T•
Sep 22, 2021
By Natasha d T•
Jan 31, 2022
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.
By Matt N•
Dec 30, 2021
There 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".....
This 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.
By Ian R•
Feb 18, 2021
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.
By Soubir D•
May 1, 2021
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.
By Albert K•
May 8, 2021
The lessons are so easy to finish. Annoying is to have 40% of the time of each video repeating data cleaning. MOST FRUSTRATING is the FINAL PEER GRADED PROJECT, so frustrating to the level that even if your code is correct it will fail to run to show the required charts. Google colab was the final savior for me to avoid the unending errors thrown at me in Jupyter NB, and through skills lab. In terms of recommending, I am not sure of what i can say based on the last part of it. I was grading and came across 2 students who seemed frustrated and submitted wrong files for each question. I am sure the their tactic was first to submit the project and get access to other student's work. Which showed a high order that students were frustrated and tired enough
By Cynthia J•
Jul 27, 2021
El curso esta descripto como nivel intermedio, sin embargo, las primeras dos semanas se tratan plots basicos (ej. boxplot, pie chart, scatter, etc) pero no se profundiza muchos sobre las opciones de parametros a ajustar ni como mejorar la parte estetica, y la practica solo da un pantallasmo muy general. Yo en mi caso buscaba conocimientos algo mas avanzados sobre estos graficos.
La seccion de dash, si bien yo no la conocia y estuvo interesante, fue poco clara la explicacion, una practica completa pero como que me falto mas base y explicacion de los diferentes modulos para poder llevarla a cabo. Al final no me quedo muy claro como se deberia armar el archivo para dashnoard ni que rol cumple cada parte.
By Abu S N•
May 2, 2021
I would give 2 stars for the materials taught prior to 5th week's final project. It goes downhill from there. The final project is atrocious. The assignment does not run in the suggested platform (e.g., Jupyter notebook, Watson, or Skills Network - the latter has been malfunctioning for couple of weeks now). I had to run the project in Google Colab to get the output. Most of the students are facing the same problem. Ans yet, neither the instructors nor IBM staff provide any workable solution. Furthermore, the instructions given does not match with the output generated in the lab (e.g., only one upload 'space' for uploading multiple plots). Terrible experience for most participants.
By Mauro L•
Aug 31, 2021
Overall, the course has been interesting and pretty useful to learn the basics of Data Visualization and how to implement interesting graphs in Python. Unfortunately, the final assignment is a complete mess and a waste of time. The tasks themselves took about half an hour to complete, but the provided code is full of typos and small errors that required days of troubleshooting, only to figure out that my code wasn't working because of a couple of misplaced spaces in a code that was meant to be only copied and pasted. In addition, a basic understanding of HTML is required to complete the final weeks of the course.
By Jeffrey J H•
Dec 22, 2020
The topic was interesting and visual feedback is gratifying.
The instructor videos were almost totally worthless. The first video should explain how the course will be conducted (information presentation, additional reading required, overall approach to homework, etc.) with subsequent videos explaining important concepts.
The included sample code files at least presented a progression to learn some concepts and provide a basis for experimentation.
The final homework required extensive internet searches rather defeating the point of a "lecture course".
By far the worst Coursera course I have taken.
By Kenny T•
Aug 23, 2021
I think the materials are good, and give a very broad overview of what visualization packages are available.
However, having the assignment based on Plotly Dash is very painful as it is not a straightforward setup, and some individuals might face challenges even executing the codes.
I would suggest sticking with matplotlib, as I presume the main objective is to know how to storytell, and not on how fanciful your storytelling can be. We can probably leave that in other courses like Tableau, D3.js or a focused visualisation course.
By Rick K•
Jan 30, 2022
One of the main packages used has been deprecated. Final was confusing to many. The decision to use a different tool to run the python code should be changed to use the same software that is typical to the program. Should consider not focusing on the dashboarding elements of python. The final would have been better if it had been in the typical environment either through IBM or coursera and required just submissions of code and visualizations from a jupyter notebook. There were also technical difficulties with the final project.
By Jessica C•
Jun 10, 2021
I was really enjoying the classes in this certification until this one came along. There were so many errors and issues and it was an incredibly frustrating experience. The only reason that I am even giving it two stars is that I feel like I did learn a little in the beginning of the course. I really hoped to learn more and now feel anxious about what the next course in this certification will be like. Very disappointing and discouraging experience and such an unexpected turn after so many great courses.
By Sukanya M•
Dec 10, 2021
The plotting aspect was fine cause it is meant to be straightforward, but the dashboard lessons taught me nothing. I spent a lot of time self-learning dashboard. Also, I see no point in introducing students directly to plotly dash, instead of using the jupyter-dashboard first.
Finally, using a sandbox environment is extremely dangerous, you should be more careful about these things. I took this course as part of the Data Science Professional Certificate Programme, and this has been the worst, by a margin.
By Matthew M•
Aug 4, 2020
The course material is well presented and interesting, but the final assignment is totally out of line. It contains questions with items that are not in the course or prior courses and I for one could not find on the internet. It took much longer and was much more difficult than final assignments in any of the prior courses. The professor needs to change this assignment, in particular question 2. Other people have struggled with the assignment and complained about the course and nobody seems to care.
By Colin R•
Jun 29, 2021
This course is great, the material is well organized and easy enough to understand and learn however the final assignment is a royal pain due to formatting issues. More time was spent trying to figure out my formatting so I could run my application than learning the material itself. It would be nice if the code for the final assignment could be submitted so partial marks could be awarded. I spun my wheels for 2-3 weeks on this before I could get my dashboard to successfully run.
Thanks, Colin R
Mar 23, 2022
the videos were short and lacking content. The quzies were sometime not based on the videos, for example, one of the modules were a short 1 minute clip doing a wiki definition of the application or whatever. The assignments were semi okay but virtually all the heavy lifting was already done for the final assignment and the other assignments. I had to look everything up myself for the most part the videos were close to useless. Zero in depth knowledge on anything in this section.
By ARPINO E•
May 24, 2021
At the end of the course we introduce the tutorial part on an Integrated Development Environment (IDE) based on Theia (an open source IDE platform similar to VS Code) to develop and run Python code. This system is extremely impractical and does not allow to save the exercises on file. In fact, for the final exam, a series of reports are required that are not at all simple and paratic in performing in such an environment and with the few notions explained during the course.
By Jesse I•
Oct 22, 2020
The lessons were great! Super informative and I truly learned a lot. The final assignment was extremely frustrating though as minimal instructions/links were provided and some of the links were broken. The concepts in the final assignment were somewhat related with the course material, but much more advanced (ex: using the artist layer of MatplotLib with looping to create patches was NOT covered in the material). This made what I did learn very frustrating to apply.
By Matt S•
May 29, 2021
Often found bugs and errors in the code supplied by the labs. The staff seemed to ignore most of the posts on the forum when other students were looking for help / solutions. The course also fell under the unfortunate category that most online courses fall under - the course starts off basic and understandable and then makes leaps in information and expects students to keep up. Loved the start of the course, hated it by the end.
By Luke M•
Aug 15, 2021
The biggest challenge of this course was getting the workshops to work to begin with, and not what the course is supposed to be about. I can't say I learned a whole lot about creating dashboards or visualising data, but I certainly learned more about troubleshooting. Most of the time I spent on this course was trying to get the workshops to work as they were poorly made and contained errors or had other problems.
By Bohdan T•
May 8, 2021
Very interesting topic with poor materials. Apparently not only I had problems with the final assignment, but earlier materials also were not very precisely explained. It forced me to look for support and solutions outside the Coursera, which is good, but I would imagine that everything is prepared, explained with references to external sources. Sorry, for me this module - great disappointment.
By Pedro H M P•
Jul 11, 2020
Not good. The quizzes were pointless and the final assignment deal minimal modifications (that have nothing to do with analyzing the data ) that are not covered in the course. Of course you can do these minimal adjustments if you search the documentation for the plotting libraries, however is this was the goal of the course why not teach it? if not, why make us bother with it?
By Anna B•
Jan 15, 2021
Some useful information but overall this course needs upgrading. Pretty much all of the information was given in the labs which made the videos feel a bit pointless. Final graded assignment required so much outside research not covered in the actual course that it took far longer than expected. Quite surprising as the previous 6 modules were all really well thought through.