nice

nice

good

none

GG!

N/A

yes

na

:)

c

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The course was great and it was delivered very by the instructor. The practise exercises with hands on activity was very well delivered. The course covered topics related to preparing data for the Data analysis process and it covered topics ranging from data ethics to data handling on spreadsheets and BigQuery. Hallie was great in delivering the contents of the course so well and I thank her a lot for making this course very interesting. I would definitely recommend this course to anyone who is starting their data analytics journey to go with this course. But sometimes the course felt a little stretched and this course might just be a revision for people who are already familiar with the data analysis process.

I enjoyed it, but the 'hard' part (BigQuery) could have been better organised. The videos contain a lot of info that is hard to grasp for newbiews, and they are all bunfled together. Then come readings that give the same info. It would be more useful to group the video and reading related to one topic together. Similarly, the excercises repeat the same task - which is a good thing, given that for people not familiar with SQL and BigQuery , like me, will surely need to do the same task a few times in order to learn how to do it properly. But this could be made clear: as it is, the number of 'hand-on' activities seems daunting. I would suggest restructuring the course to make the learning path more explicit.

The course and teaching is awesome, but

The new changes happen in reset deadline is not good, I was in my 1st time line, when i reset, it switching to new timeline and all my previous completed module is not stored in new timeline and they saying to complete again. it not fair

sometimes I don't have time to courses and modules on time, so i reset the deadline, but it become hell in learning progress. already raised many tickets regarding on this issue.

the putting pressure on ME to complete the course. I love to learn, but sometime i don't have time to learn, i am full time working, i got some free time to learn, putting pressure and the learners make more stressful,

PLEASE HELP ON THIS ISSUE

I can understand people who are complaining about this course, which is kind of similar to the previous ones. But I like this one better because it introduces some (actually) useful insight about professional social media and connections. The stuff about SQL (BigQuery) was nice too, just not very complex. It seems to me that things go a bit backwards in these courses. They try to motivate you about professional fields and often ask you to imagine what you would do in certain situations as if you were already getting a job anytime soon, when we still know nothing about real or "tough" data analysis. But well, maybe in the next courses the fun stuff finally appears.

Again, this course is a good introduction and overview of preparing data for processing. For those with zero experience, it is a great introduction. If you have previous coding experience, the BigQuery / SQL exercises will be pretty easy. My biggest criticism from this course is that there are no explanations on proper coding syntax/the why of how we code. If you've used R or SAS, coding in BigQuery is very similar. But I kept thinking to myself, if I had no coding prior coding experience to rely on, these exercises would be confusing and difficult. For example, there are no explanations of the DISTINCT, COUNT, or DESC functions and why/how they are used.

Definitely better than second module. Speaker speaks much cleaner; you feel that this stuff will be needed for you in future and also optional part is actually in optional part. You will learn basics of SQL and how to sort/filter in spreadsheets, really starts of Big Query. Get useful ideas and advices for your future. I did not put 5 stars only because it felt like there could be more additional material on SQL and more deep dig into the preparing of data

While the "Ask" course mostly covered softskills and general office behaviour this one is way more specific. You learn how to use BigQuery and set up datasets, table and import open source data. The you go on with real SQL queries. The videos about that are realy quick so you have to pause and rewind often. Also the interface of BigQuery changed a bit since they were recorded so you have to search for some functions but it still works completely.

Happy that we are finally getting to the "work" of the data analytics piece. All an all this was pretty easy to follow along with. Would like more hands-on examples and that the data provided in the end of course review is used in the questions. It also would be nice to know when something should be followed along with, and when we should be trying to get accounts and/or access to do what the instructor is doing at the same time.

This course is awesome. I like the way they lead me step by step over the process of preparing the data for analysis . I also love how they guide me on how to create a good networking which really benefits for me to land my job as a data analyst. However, I think the multiple-choice questions are just too easy, I hope it will be more challenge so the course takers would spend more time to reflection on.

This course definitely ramps up when you get to week 3 compared to all of the work before it. It is super informative the only reason I am not giving it 5 stars is because when working in SQL the program has us use BigQuery but the reading and videos dont tell you that BigQuery has some coding differences from SQL and they dont tell you that until after you have frustratingly found this out on your own.