27 de nov de 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.
13 de ago de 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!!!
por Nicholas F•
24 de nov de 2020
This was a pretty sloppy course. Assist with learning before insisting that any of your students make progress with their coding. Many of the basics were overlooked, mentioned in passing, or skipped completely.
por Adam J L J H•
25 de mai de 2020
I think that more explanation about the syntax could be taught within the videos. As of now, most of the syntax is being taught within the hands-on lab practices which does not offer much explanation to it.
por Ivan M•
16 de jul de 2020
The assignment was way more complex than the content of the lessons. It was hard to find ways to complete the assignment correctly with the information we had at our disposal in the lessons or the labs.
por Ashish D•
22 de dez de 2019
Does the job of a good introduction.
Very limited and restrictive practice and assinments.
For a true learning experience one needs to do a lot of external research and work to show a measureable benifit.
por Md A A M•
23 de nov de 2020
Course assessment criteria should be more robust and comprehensive. I would like to request you to improve the course contents, test criteria and programming tasks to better enhance the understandings.
por Ricardo R O•
20 de out de 2021
II think it was missing a lot in relation to Plotty and Dash, I don't understand a lot of things, and at the end I would have liked the other packages to have been touched, but it's a good course.
por Pouyan K•
22 de jun de 2019
The final exam is really vague and not organized. It would be a much better course if the instructor made exam in the JupyterLab like other courses. Also, the videos are not very comprehensive.
por Nikhil J•
19 de abr de 2020
The content of the course is good. But, it was not gripping or engaging. Probably, because the instructors voice was inconsistent, modulations and variations. Overall, ok. But NOT satisfactory.
por Daniel M•
14 de mai de 2021
I really enjoyed the course up to the final project. It should be rewritten / thought through. So many issues with the project - networking / right tool / right browser. Extremely frustrating.
por Josephine C•
19 de jun de 2020
I feel like these courses could use more detailed explanations of functions and their parameters. It is one thing to learn from examples and on other to really understand how the tools work.
por Andrea E•
19 de dez de 2019
recurring technical issues (data on final assignment not available )
description of final assignment not clear / inconsistent to previous courses, no jupyter notebook provided
por Kailas K•
14 de out de 2019
The videos are very short compare to exercise covered. Assignment gives overview of how much deep the coding can go but video should be elaborating few aspects of layers of matplotlib.
por Dr S K•
29 de out de 2018
Again I cannot access the cognitive class ai and this has truly hindered my learning experience. I cannot open any jupyter notebooks nor can I submit any assignments, This is really bad
por Carol L•
15 de jan de 2020
Me pareció super interesante el curso, pero los videos muy cortos dejando todo el material para el lab, y el final assigment con solicitudes que no fueron explicadas durante el curso.
por Rajrishi N•
9 de ago de 2020
I am unable to reset the timelines for this course. I missed the timeline due to an emergency and the course is now frozen and I am unable to complete it. Please unlock the course.
13 de dez de 2021
Great content but hard to follow at some point. Lab is very unstable. Final peer review project is not appropriate and did not use the most common data visualization techniques
por youtian p•
22 de dez de 2021
I think the final project should add more difficulty and tasks. Or provide the option to choose the difficulty level base on the learner's python and data science experience.
por Jessica U•
20 de mai de 2020
The assessments are a little silly- the quizzes trip you up on minor syntax instead of being concept-focused, and the final assignment used some skills that weren’t taught.
por Everett T•
10 de jul de 2019
1) Quite a lot of contents of the final assignment are not covered in labs/videos
2) Huge portion of videos is redundancy and repitition
3) Labs cannot be exported to HTML
por Alex M•
6 de dez de 2020
The instructor provided lots of useful code, but the final assignment is unnecessarily difficult because the required code customization was not covered in the course.
por asher b•
27 de nov de 2018
Course was pretty good, except... The final project was too much of a stretch, had to google too much to figure stuff out that wasn't in the lectures or practice labs.
por Claudiu I•
23 de set de 2021
The lab excercises are too time-consuming, for reasons unrelated to the course material. I found it hard to simply run the programs in the development environment
por Kristine M•
31 de mai de 2021
The final project needs some review and updating. It was a frustrating couple of hours to try and get it working. I finally got it half way working and gave up.
por David C•
17 de mar de 2022
The course starts out great with some insight into Matplotlib but gets very hung-up on Cognos and Dash and approaches something similar to Java web development.
por Courtney G•
15 de mai de 2020
The final assignment required knowledge that was not thoroughly explained in the videos and labs. Some of the practice labs could use more/better explanations.