This was one of the topics I am very interested about. Unfortunately, I don't think I managed to get the information and insights I was hoping for. The information were too broad, there were not enough real life examples, and I wished there was a way we could really put into practice what we learned in a more interactive way. On another note, something very subjective, it was very hard for me to follow the videos, as in my opinion the presenter was too robotic and I felt like she was reading instead of presenting and really explaining and emphasising some aspects. So I ended up stopping watching the videos and reading the whole course by myself.

I was under the misunderstanding that this would be courses to improve practical data analytical skills using Google tools like GA4, Search console, creating reports in Looker Studio. It is not. Is a very broad theoretical course on what data analysts do, what career opportunities there are, basic fundamental ideas and concepts etc. Content is mainly filler. It is similar to what you might learn in you first week or two at an intro course in 1st year university. Probably good for people looking for a new career path or high school students deciding what to field to study but not for anyone looking to improve their data analytical skills.

Ok I might have rated this course more stars if a lot of stuff was non-repetitive. Also, there should have been more case studies and some peer-review assignments to actually push a person to learning, otherwise its just a speed-run as the majority questions were easy, none of them were hard or complex. The course only aims to help you ignite curiosity and push you to study subject matter on your own instead of completely relying. Lot of stuff grad students have already dealt with was covered in a sugar coated way. If there's someone who is looking for a refresher can surely go for this course.

While the course is presented well, it covers a lot of topics that don't really support the mindset behind data-driven decisions. Most of the course is extremely shallow spreadsheet usage and communication. So if you are extremely new with spreadsheets (like you don't know how to add or subtract using one), or if you are extremely new to any business communication (like never worked at an office before or did a college course), then you may find some value in this one.

Ideally, it would have been nice to having more exercises to work on making a mindset of data-driven decisions.

There are some errors in the quiz questions where a statement is followed by a question mark and then we are asked to "select all that apply" - this is unclear and I suggest a rewording of the quiz question. Furthermore, I don't see how learning how to be a good team member has to do with asking questions to make data driven decisions. I think that learning to work well on a team, keep volatile emotions in check, and respond to conflict professionally is important - but it is important to all teams in all fields. Learning about it here feels inappropriate for the course topic.

This course is all over the place. There is about 3 seconds of "hands on" kind of followed by hours of watching someone talk at you about examples of Data Analytics and multiple choice questions. It was very mind numbing and personally i feel i learned almost nothing. After taking these first 2 courses, if i were to be asked anything about data analytics, i would have zero idea on how to answer that question. Im really regretting my choice in taking this course but its paid for so im forcing myself through and hoping that the next course will be more engaging.

If you enjoy the phrases "in this course we will cover...," "this is just an introduction to what we'll cover later in the courses," and "we just covered" being repeated in every video, then you'll love this course. The amount of times the instructor talks about what you will learn or have learned outweighs the amount of time you actually learn something.

I will say, if you are completely new to spreadsheets, they do a great basic overview. But, if you already have a good idea of how to work with them, then you won't get much from the course.

The course offers fundamental background information on the topic. However, if you have had previous experience in any kind of data role, in any industry, the information provided can become a drag to complete. I am already discouraged from completing the entire course because it is too basic and doesn't mentally challenge me enough. The content is also repetitive. This course is probably suitable for anyone just leaving high school, who has no prior experience with analysis or even spreadsheets.

I don't have experience in creating courses or much teaching experience, so read my review with that in mind:

This section of the course felt very redundant and drawn-out. The information in multiple-weeks worth of material felt to me like it could have been covered in a few days. Much of it also felt self-explanatory (the importance of communication, being polite to coworkers, how to write an email) and thus, in my mind, did not require such an in-depth discussion.

It was a little bit too easy. I think a topic that could be included is how to communicate with NON analytical stakeholders. Or how to speak data outside of the data team, also how to manage stakeholders that want data but may not know the process (the work that goes into analysis)

I think this could really help because analytics is a buzz word that many like to throw around without knowing what it entails.

I disagree that ourse ia Ask Questions to Make Data-Driven Decisions have a right title, because they give you many information about how to write letter and be a good cowoker. The first two weeks are better than the last two weeks. In last two weeks have more soft skills information then hard skills. For me it was important what should I ask, but afterall I haven't a full answer.

The descriptive questions section were not clear and  it seems with no instructure you don't know if your answers are correct or not. When you do the test with particular answers it helps you to improve yourself and the answers shows you are on the right track. When you should write your answers with no instructor to guide you, it looks like you can't improve yourself. 

There was too much content for one course and it didn't all fit together in a way that made sense. The topics didn't flow logically one into the other. The final "challenge" was awkward at best with having to pull up so many handouts for questions that could have been asked pulled together in a much clearer way. The number of handouts became a distraction.

Week 1 was good information on question asking frameworks. Week 2 was pretty basic data/reporting types. Week 3 was pretty basic excel/sheets usage. Week 4 was about communication and stakeholder management. Overall, I think only the first and last weeks were valuable, but they could have been covered by two short articles.

These programs need to focus more on teaching what needs to be known instead of life stories. I find they drag out and make it discouraging to want to continue to participate, although vocabulary is great, it needs to be more showing what we will actually use in the work force such as SQL. I'm not taking an english course.

The videos are so jam packed with buzz words and 'story-time' examples that the actual learning opportunities in the course are limited. I'm aware the course those with no professional data analytics experience (like myself), but there's some things that are common knowledge and don't need to be covered in this course.

The course dealt a lot with theory, without us getting enough idea of the practice. To ask good questions one needs a better acquaintance with the material being studied. It is difficult to understand in advance what is expected further down the road. Also, the instruction of the course was a bit tedious.

A lot of the questions during the activities are nonsensical, confusing, and don't provide learning opportunities--very ironic considering the course material requires you to think about the kind of questions you ask and to be more specific about them. The contrast is pretty jarring.

I feel like the first course covered a lot of the material in this series, and the first course had for more engaging content about thinking about becoming a data analyst. I feel like this course could have went into more detail, or been more difficult, in addressing the Ask phase.

I understand that the program is for Data Analytics beginners but this course is aimed at people who have never even touched Excel or any other spreadsheet software. After spending 5 minutes watching the presenter fill in cells in a spreadsheet, I realized that this is not for me.

The last test is hard, not because the material, but the way it was written, example is the =sum question, since it was on written formula it was unreasonably strict, the answer was obvious but sometimes the grader mark my answer wrong just because i wrote it differently

Very difficult to follow along. When it comes to Google Cloud BigQuery section, the instructions could be simpler and clearer. The videos and activities are not correlated with the updated versions of Google Cloud making it extremely difficult to follow along.

Several portions of this module contains questions and assignments that aren't taught in this module anywhere, and there's no humans to ask questions. The instructor also doesn't speak clearly and module 2 isn't nearly as effective as module 1

Following this course was very difficult due to the choice of instructor. They simply weren't fit for educating nor motivating beginners. There were some pronunciation problems, speech unrealistic as in just reading from a sheet, etc.

All theory and very little technical training so far. It consists of mostly reading or watching lectures and then taking multiple choice tests. A lot of it is common sense or stuff you would probably quickly pick up on the job.