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.

It feels like a course that should be at the end or near the end of the overrall course. i am confused by It being the second course. Ximena was lovely but this course did not need to be here or to take as long as it did.

The course is not really what its title suggests. The first half DOES focus on asking questions though too brief while the second half completely gets off the track by focusing on spreadsheet and communication skills.

Finally something technical here in the third week of the second course, where basic Google Spreadsheets was taught. Other than that, mostly filler content that puts you to sleep and forget the next day.

Curse name "Ask question to make data-driven decisions" but only talk about SMART QUESTION. The 20% of this course represent the curse, but the rest 80% is talking about introduction spreadsheet

Redundant and feels more like they are preparing you to apply at Google than becoming a Data Analyst. Very little interesting content in this course and might discourage people to continue.

Pretty basic, with very ambiguous questions. Many of which have multiple correct answers that could give the wrong idea to someone new to analytics. I would not really recommend this one.