BEST

....

Nice

good

Good

good

good

Best

exce

good

good

none

Nice

Good

good

ok

<3

NA

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5

P

First, I would like to thank everyone at IBM for putting this course together. It’s like ordering a meal at a famous, beautiful, expensive restaurant. The customer orders the food and then they get what they ordered. However, they didn’t see and hear Gordon Ramsey in the kitchen and the fight it took to bring the best dish to you. When we as students come to the course, everything is already prepared. We don’t see the hours of hard work and extreme attention to details that go into it. So thank you all for what you do behind the scenes. I’ve learned a lot so far and I really can’t wait to keep going. In this course I really like the simple approach it took in the beginning and the illustrations and comparisons to cooking. It made it really easy because who can’t identify with wanting to have a good meal? Hopefully I can add a small touch about what I’ve observed to the vast knowledge of IBM. In the course, it was explained well what the data methodology is and then how that knowledge was applied in the case study. However, it was difficult to understand why that knowledge was applied the way it was. It felt like a math equation was shown on the board and then right after that, the answer was shown, but what was missing was the steps in between of why that was the answer. Another part that made it difficult to fully comprehend was the labs. I was looking forward to actually working with data, but everything was already there and it felt like the answers were shown to me without helping me understand why this conclusion had been reached. It’s easy to pick out things to work on because nobody is 100% free from flaws and really who am I to attempt to suggest anything to an industry that doesn’t need my viewpoint? I do hope that this was received well. This course still was a very hearty meal and left me wanting more. I look forward to the next course! Thank you again for all of your hard work!

The overall content was interesting and helpful in understanding the steps a data scientist would go through when taking on a new project, but I had some issues with this course.

Many of the videos did not have a transcript which impaired learning and made taking notes much harder. 

The quizzes had questions that were confusing and whose content was not covered explicitly in the course.

The lab code did not work in the virtual environment - I hadn’t had an issue with this until this course and I noticed that many other students posted in the discussion forums with the same problem. 

The lab open ended questions were not well thought out or intuitive - the “correct” answers to these questions seemed out of context and was not taught in the course content. 

This is the first course in the IBM Data Science Professional certification where the video screens had different content than what was being said in the video lecture. This makes it very difficult to know which information to take notes over and what is or isn’t important. It’s much more helpful to have the slides match the transcript to avoid confusion and make the learning experience easier. You cannot take in a slides information AND listen to someone saying something different at the same time - ineffective.