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Week one and two were not bad, one complaint I have with week one on two were the overwhelming amount of tools mentioned in the videos which are quizzed on. It feels more like being tested on memory. I don't think my memory is bad or anything, but I just feel like it is irrelevant, but I do understand why they're mentioned in the videos, it's just the quizzes. Other than that, week one and two were not bad.

As for week 3, wow. Week 3 was convoluted. Major problem I had with week three is that the videos are outdated. I do think Watson Studio is a great resource to use, especially if you want to work for IBM, but it was confusing to figuring out how to sign up for IBM cloud for free unless you looked at the forums beforehand. There should be a disclaimer or something to give learners a heads up to read the forums before doing anything; however I don't know if you can do that currently on Coursera, would not fault the staffs or moderators if it isn't possible to do on the platform. I've seen some learners stressed regarding to signing up and using IBM Cloud. Not only signing up on IBM Cloud was an issue, it was also the interface change that is confusing to navigate for me and others. Other than that I've got everything out of the way and managed to complete week 3 and this course without being stressed out over these problems.

Anyways, continuing on the next courses and acquire the goal to get the certificate despite the problems I had with this course.

TLDR: Modules 1, 2 and 3 are terrible. 4, 5 and 6 are great. 7 is OK. This course is a bit of a mixed bag. The first three modules are basically laundry lists of different tools, libraries etc. They are introduced without much context and often using terminology that has not previously introduced either in this course or the preceding one. These modules could basically have been converted largely into a series of glossaries or reference resources. Modules 4, 5 and 6 are pretty good though, getting you hands-on with the (very) basics of Jupyter Notebooks, Python and R. The Final Assignment has you creating a simple Jupyter Notebook with some markdown and simple code cells, then sharing on GitHub. This is great. The optional module 7 is kind of a quick start guide for IBM Watson Studio and includes getting a code that means you can use the free tier of this service without entering a credit card. This is a pretty good benefit, giving access to a data science toolkit that I suspect will also be used in future courses in the series