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!!!
It's a really great course with proper hands on time and the assignments are great too. i got enough opportunity to explore the things which were taught in the course. Really Satisfied. Thanks :)
By 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.
By 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 There were some things that were outdated.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
By 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.
By 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.
By 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
By 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.
By 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!
By 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.
By 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.
By 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
By Fernando E V•
The level of dificulty of the final assignment does not correspond with the contents. It was so difficult and there were a lot of issues related to the platform. I spent more than two months in this course.
By 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.
By Trevor S•
Week 4 appears to be slapped on and the content isnt refined. Lab isnt really a lab, more of a non working coding example. Final project is... absolutely horrific and needs to be revised.
By Olivia V•
Very disappointing. Course is uneven, either too shallow or way too complicated. Final assignment, especially, is about material not detailed in the course. Many technical issues.
By Alexander F•
Exercises have a chaotic layout. Course it's self is ok, technical support is good, but compared to the previous courses this one does not hold up in quality.
By Muthanna A A•
The videos were very poor, and the methods given in the labs assignments did not cover some types of questions that were asked in the final assignment.
By Jayesh M•
The course content is good and well covered. However, in general, I would have expected less of Matplot and more of Seaborn. Seaborn is easy to learn.
By Nagulan B•
Very Irritating. Absolutely no guidance for the Assignment Questions which were not covered in the videos labs also. Wasted 3 days on the assignment
By Adriel T•
The videos were repetitive and the final required a lot of outside research/information since the content was not covered in the course.
By Clay S•
The general content was good, but did not review all of the skills needed for the final exam. That made the final very frustrating.
By guanyu w•
Very perfunctory video teaching, a lot of content in the lab needs to be Googled by urself
they teach nothing but give u the code
By Lee L•
The course videos, lab, and assignments do not really align in my opinion. I expected to learn more from the IBM's DS series.
By İdil K•
The course material is not comprehensive enough and the final assignment is too hard for the things taught in the course.
By ROHIN K•
The annotate function is not explained in the course making it very difficult, so please add more material on the same