HK
Invalid date
Very challenging, yet that's what make it's rewarding. Even though the course only takes 3 weeks, its difficulty is on par with the longer previous course. I enjoyed every problems on it!
MN
Invalid date
More in class projects similar to final assignment where we can challenge our knowledge as we are all remote and it takes time to communicate through the available coursera forums.
Thank you.
By Henry C Y
•May 24, 2020
Excellent course. The labs really challenge you because some of the material is not directly taught or the syntax differs slightly from what is taught so you have to hunt for answers.
By William P
•Oct 27, 2020
Great Course, would have liked to have labs/exercises that coincide with the video as he is presenting. Instead, it is designed to watch the video then go back and complete the labs.
By Abby M
•Oct 8, 2018
The course had a great examples and samples for common and uncommon visualizations. The course lacked the background to be able to import the geojson properly for the final though.
By Farah A
•Oct 4, 2019
Good course, but I found the final assignment hard to complete, spent quiet sometime researching to be able to complete it. Providing the correct solutions would be helpful
Thanks
By Shashidhara R
•Oct 23, 2023
overall Good content. Guideline and explanations in Projects / assignments can be improved. Many times, instructions were not clear enough for a smooth learning and navigation.
By Jakhon K
•May 31, 2020
Overall really good. However, would be better if a few videos added about object-oriented visualization. Also some links and methods used should be updated to the latest ones.
By Michael J L
•Mar 25, 2020
Best of the 5 IBM Data Science Courses I've taken so far. Some problems connecting with the labs, but you can bypass these by downloading the ipynb's from cognitiveclass.ai.
By Konduru G
•Jul 30, 2019
It was very nice and brief course but it could have been better. Some other topics must be included and some more exploration of different properties needed to be addressed
By Michael L
•Jun 15, 2019
This course, although useful was difficult to follow at times. It did not get that into the Artist Layer of Matplotlib but the final project requires the student to use it.
By Elyass S
•May 23, 2021
It's an informative course, it even tested a student's perseverance and creativity in solving/bypassing various bugs. The final assignment was definitely an eye opener.
By Venkata S S G
•Jan 30, 2020
final assignment is tough. Everything else was decent and intuitive. Good jupyter notebooks and labs for practice were provided. Do practice all ungraded lab sessions.
By Christopher L
•Aug 2, 2019
Would've enjoyed the course more, if it got into the nitty gritty of annotations, but a comprehensive and decently delivered course nonetheless. Kudos to the IBM team.
By Julie D
•Dec 21, 2022
The learning was good - I had a really hard time with getting the IDE environment and labs/assignments to work well. Doing screenshots over and over is inefficient.
By Wesley C
•Oct 3, 2019
Just like the few previous Python courses by IBM - errors and typos have yet to be fixed. But other than that, it is a really good introduction into using Matplotlib.
By Tichaona M
•Sep 10, 2020
This is a very fascinating and demanding course when one follows all the Skills Network Lab exercises. The advanced visualization tools are worth the trouble!
By Neelam S
•Jan 3, 2020
Examples contained less python codes as compared to asked in final assignment. More python codes for visualization are to be conveyed.
Queries are not solved.
By Seymur D
•Jul 23, 2019
The course content was good, but final assignment needed more clarity in the what was demanded from the question. Lots of interpretation left for the student.
By Alexej Z
•Nov 1, 2018
Some tests are not comprehensible in their entirety and can only be carried out with a great deal of effort. Otherwise very good content. I could learn a lot.
By Jonathan P
•Oct 26, 2022
Material had great breadth of topics. Should also cover related topics like how to add "narratives" to the visualizations to enhance storytelling skills.
By Rohan B
•Jun 20, 2019
Course is really helpful for indulging someone into data visualization but sometimes in the lab some stuff is just present for you to figure out yourself.
By Magnus B
•Mar 11, 2019
The information provided was straightforward and easy to understand. However, the final lab requires extended knowledge that is not covered in the videos.
By Niladri B P
•Jun 7, 2019
Excellent lab material. However, I feel the video lectures were a bit too brief and could have tried to explain the technical concepts a little bit more.
By Varun V
•Jan 1, 2019
Nice course. But Seaborn examples could have been more helpful. Also, please use Python 3 for examples. Thanks for the video and more better class labs.
By Makinde M D F
•Sep 17, 2020
The Course is an interesting and practical Course. Alex Aklson, the lecturer is a good teacher too.
Many thanks to IBM and all the teachers on Coursera.
By RICHARD D
•Oct 11, 2019
The Course materials are brief and Short and understandable. No need to learn junk topic only relevant areas are learn in this course. Thanks to IBM .