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!!!
por Abu S N•
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.
por Mauro L•
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.
por Jeffrey J H•
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.
por Kenny T•
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.
por Jessica C•
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.
por Matthew M•
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.
por Colin R•
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
por ARPINO E•
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.
por Jesse I•
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.
por Matt S•
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.
por Luke M•
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.
por Bohdan T•
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.
por Pedro H M P•
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?
por Anna B•
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.
por Brittany M•
This program needs to be updated. There were some things that were outdated. Additionally, for the final, we would be asked to do things that were not covered in the lessons. Although this can help in teaching problem solving, it was quite confusing and overwhelming considering this is an online class in which we have no instructor to go to for guidance.
1. Course videos are repetitive. Infacts videos in this course are useless
2. Plots parameters are used but limited info about those are provided. It is assumed that we already know.
3. Personally, expected more detailed info on some of the charts, word cloud waffle needed more explanation
4. Course is not updated
por Tanabhumi L•
From all of the courses that I have learned so far, this course are the most disappointed for IBM courses. There are a lot of error in lab sessions. Staff is answering the questions but sometimes didn't help. The content is good as usual, but the program for study and the support is not good enough.
por Andrea W•
While I did learn some new coding skills, the course still needs to be developed. Mini labs should be conducted after each video to tie information together. If we are to be tested on something, it should be a part of the instruction. This course is part of a beginners' specialization not advanced.
por Nan C•
The practical part is a little bit too confusing (containing too detailed usages of specific libraries). Video has a part many times repeated (on the initial dataframe "Canada") which makes watching it becoming more and more tedious. Tone voices inconsistently made by different people
por Sujith K S•
Much time was wasted explaining unnecessary stuff (ex: 2 min recap of data in every video) and useful topics such as seaborn and advanced tools got less attention. Implementation was not even discussed in videos. Video and audio quality is not the best. Final project was good.
por Neshat J•
Not much detail is given in the lectures! The labs have many information that should be explained in more details! The final assignment is almost impossible to solve with the knowledge given in the labs and videos! My least favorite course in the IBM series so far!
por Hui Y O•
The assignment is overwhelmingly difficult. I understand it is important to do online research when completing the assignment, but I hope more clues and guidance will be provided step-by-step just like other courses within this IBM Data Science Certificate scope.
por Antonio C•
I think that was the hardest IBM Data Science module I have tried until now. Level of final exercise to me was munch more difficult than lab sessions , which is not fair.
Videos do not show anything relevant, lab sessions have been good.
por Montserrat C•
This course is too long for only one week. If you want to learn well all this matter you need more time.
Besides the material of the course didn't help too much, in fact, sometimes it makes you hesitate and be wrong
por sayaka .•
Interesting course that gives a good overview of the possibilities to visualize data within Python. Unfortunately there were many lab issues so that it was challenging to complete all modules.