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 Brian C•
20 de abr de 2021
Course was very hit and miss, fine through to the final section on dash boarding which was all over the place. Complicating matters was the fact that the lab sessions wouldn't run on the suggested site, meaning that they needed to be downloaded and executed separately on something like VSCode or Google Colaboratory.
por Claudia R C•
10 de mai de 2019
The course is nice, but there are several issues that could be easily solved:
Some of the notebooks on JupyterLab were not working (e.g. "exploratory...").
On the final assignment page there were some bugs regarding the upload (i.e. question 3)
The videos in week 5 were too condensed and resulted hard to follow.
por Joshy J•
31 de out de 2019
This course is a little disappointing for me. It is a 3 Week course and content you learn in this course are not even cover introductory sections. The Final Project is So hard, that it didn't cover the important sections. I don't suggest this course if you are really serious about Data Visualization.
por Kevin O•
19 de abr de 2019
None of the labs data imports worked. The majority of the video content said to take the time to really learn the topics via the labs. The final assignment data sources worked, so at least that could be completed. Paid courses really need to have external dependencies reliably available or updated.
por Louis C C I•
20 de mar de 2021
The content was really interesting and I learned a lot. I just wish the code was explained better because there were a lot of times where there were functions I had not seen before and were not explained. The final project was also a humongous pain to complete do to graphs not being displayed right.
por Mark H•
10 de fev de 2019
Good content to know. Fair but not great in terms of presentation. Many videos repeated how to prep the data frame so you end up watching the same 2 minutes several times. Also a lot of the things you had to know you had to figure out on your own versus finding it in the material presented.
por Daniel A•
10 de set de 2020
Still good overall but not as well designed as previous courses in the IBM data science certificate track. The final assignment is MUCH more difficult than any content in the labs and harder than previous final assignments, which isn't necessarily bad but it's inconsistent and unexpected.
25 de mai de 2020
I didn't completely understood the labs and where some lines of code came from. Also, I felt that we don't get enough directions to complete the final assignment, not even which notebook to use. This has been by far the most difficult course of this training in my opinion.
por Yanis B•
25 de nov de 2018
Great course except of the final assignment being based on a deprecated or soon to be deprecated version of Folium Choropleth implementation. Please review that part as it could be very confusing to students that do not use cognitive class as their development environment.
por Sean M•
20 de jan de 2020
Since students weren't able to submit code, this made it extremely difficult to answer the final project (which I couldn't figure out how to finish). Getting feed back on how to correctly code the answers is more important than showing a screenshot of the final product.
por ADITYA D•
12 de jan de 2020
Need more clarity and practice for this course. This course seems the toughest as it asks for memorizing artistic layer syntax which seems so difficult coupled with the humongous choropleth map!
A huge amount of practice is needed for this certificate even after labs!
por Antonio J R C•
13 de ago de 2020
Good approach to basic concepts of Matplotlib and other tools to visualize data with Python, but the assignment and final evaluation require much more knowledge than those taught during the course and, eventually you spend more time googling concepts on websites.
por Collin C•
8 de jan de 2020
The information was valuable and generally well explained. The final was a massive failure; the classes and examples prepare us for maybe half of the questions, but all the questions depend on building off each other. The only way to pass is to Google for hours.
por Pablo D B•
19 de jul de 2019
I had many issues when people marked my final assingment. Maybe the indications should be clarified. For example some people didn't gave me the points for not showing the dataframe with the rows in the same order, although all the rows were respectively correct.
por Eunice C•
9 de jan de 2020
not too practical over the course, a lot of theory based which is great as well. But I personally not a big fan of the Watson studio as it's not user friendly. I have to go through a lot of layer on their site before getting to the studio or the notebook.
por Pelin Ö•
3 de ago de 2020
Not much on videos, I could find the info in the labs in other courses. It took me very long time to submit my assessment, I had to buy another course to get back on track here. I was demotivated. This course was the least satistfactory among all..
14 de mar de 2021
THE FINAL ASSIGNMENT WILL NOT WORK. PERIOD. NOBODY ANSWERS ANYTHING IN THE DISCUSSIONS. THE CODE THAT IS GIVEN IS FULL OF SCRIPTING ERRORS. AND NOBODY CAN GET JUPYTER CONFIG TO FREAKING CONNECT.
PLEASE FIX THE FINAL ASSIGNMENT SO THAT IT WORKS!!!
por Jan M•
1 de ago de 2020
Topics were interesting, but the amount of new code being explained dramatically decreased. Also the final assignment was nightmare-ish as I was often forced to make code that wasn’t discussed in the previous videos and labs.
por Ward N•
18 de ago de 2021
The final project was overly difficult. I spent 3 weeks on it! 3 weeks! I kept trying it in different environments, including Google Colab, as some suggested. It would not function at all in JupyterLabs, so don't waste your time. Use Theia!
por Sohom C•
15 de jul de 2020
The course is good but the final assignment is quite tough for someone who is learning this for the first time. One better way to approach this course is to break down the codes line by line which makes the learner to pick up quickly.
por Muhammad Y•
16 de jan de 2020
The Course Was Perfect And Was The Lab.The only thing that was so annoying was intructor just give a brief introduction and left the topic with lot of confusion.Lab was annoying to it was very hard to open and was giving so mcuh error
10 de fev de 2020
The course would require revision to introduce the concepts in a simplified matter with different data sets. I also believe a lot of the detailed concepts are left for the course takers to explore to fully comprehend the material.
por Rohith P R•
19 de abr de 2020
Need more concepts to be discussed for modifying charts using artist layers. 25% final assignment was based on artist layer, but the different options of artist layer are not explained like ax.spines 'top' .set_visible(false).
por Shan C•
17 de nov de 2019
The data visualisation videos are repeating itself most of the time, but the final assignment is super hard, which many of the details were not mentioned in the courses materials - no clues to do the assignment at all..
por LaShi H•
14 de nov de 2021
Overall, the course is informative and enjoyable. The final assignment was a bit of a pain. It was not a difficult exercise, the tools to complete the assignment do not work properly and make the assignment tedious.