I'm going to be honest. I think this module was poorly implemented.

There were a number of points made in a short, shallow way that left me frozen. I thought for a while I must be overthinking things, but then after doing more reading I realized the presenter was speeding through areas that weren't at all trivial.

Then, there was the subquery lesson. I'm sorry, but this is teaching for memorization, not understanding. I understand the approach is to give a high level view of what is possible, but this could have been much better without making the videos any lengthier.

I am sure the presenter is competent and I appreciate the time and effort. I hope Google takes these things into consideration for future lessons.

It feels disorganized. At some point it felt like even the instructor was having trouble understanding and explaining the concepts of the course.

Again, even the way she wrote her code was disorganized.

I did not feel like the modules had a sequence and it seems like the information is all jammed.

Courses 1-4 felt great and even though they had different teaching styles, I was able to know what the module was going to be about and they summarized the information really well.

I truly recommend to find external resources, especially to the SQL lessons:

https://www.youtube.com/watch?v=HXV3zeQKqGY&t=1409s

The readings were well structured. The infographics and the sources available was what got me through this course.

The instructor was by far one of the worst teachers. She barely explained why she was making the decisions she did. She also didn't explain very well the concepts. That, and there were several times were she needed to be corrected by the people who insert the prompts on the videos. She also kinda assumed we were experts or something, there were times were she did something and then a prompt appeared explaining that she did something one way, however the "right" or proper way to do it is another.

Man, I was so excited to start this course and it was soo bad, at least for me, I don't think I learned so much. At least you guys gave us the SQL intermediate guide to really understand some concepts.

I am a beginner with this material but have experience with data analysis at work. I am half way through now and I am noticing the technical aspect is lacking the more I am into the course: what I am shown on the screen for a query input into BigQuery does not work in BigQuery. The teaching is alright, but lacks guidance, especially in the SQL material. I suggest gaining some SQL knowledge before attempting, as it will make it a little smoother. Other than that, it is alright. I want to find another Data Analyst course and compare the materials and approaches. That's where I am now. Would I want my money back if I had the chance and invest it into the other course? Probably.

This was supposed to be the main course of the program, since it is about analyzing data, so I was expecting a lot from it and I was really excited about it. Alas, I felt miserable during the most part of the course because the instructor was not good at explaining concepts, gave us messy and confusing examples, and she didn't even seem to follow best practices herself. I felt so frustrated and miserable the whole time! I had to go to an external website to study SQL and learn from there (and it was so much more simple, useful and enjoyable on the external website I went to). Because of the lack of pedagogical skills of the instructor, I do not recommend this course.

An entire lesson video is dedicated to using the regular sum function in Excel. Only if you have been living under a rock for your entire life would you not know how to sum cells in Excel. Whereas all the important syntax of SQL is condensed in one short video. And this is Course 5 Week 4! I wouldn't say it was a complete waste of time as I did learn some new things but I did not gain as much as I had hoped for. I am looking forward to the next course in the specialization but I know I will have to rely on outside resources to learn something substantial and not just superficial knowledge of the tools being taught.

I have really enjoyed this Google course overall, but I did not enjoy the instructor for this portion of the course. The instructor was either very slow and boring (no emotion whatsoever) or I felt like the instructor was yelling at me. I enjoy instructors that I feel like I can relate to and show some type of emotion rather than sounding like a robot. I also didn't like when she went over SQL queries and you were expected to follow along because there is no way you can work along with her as she moves WAY too fast. I had to keep pausing and rewinding constantly which made it difficult to learn as I was instructed.

The rate of information and homework in this course needs to be split up more into about 6 weeks. And ping ponging between SQL and Spreadsheets makes it very difficult to stay focused and retain information. I have thoroughly enjoyed the other 4 courses and they were very low stress. But this one was not fun at all. I had to ask mentors for help and clarification numerous times and found multiple errors in the curriculum as well. It was almost enough for me to decide I am not going to move forward if the other 3 are anything like this, but I am going to anyway. Thank you for asking :-)

I had some troubles with this course. I found some things explained vaguely, while simple things explained repeatedly also from previous courses. I do not think, that there needed to be mentioned ie underscores in the module glossary as it was already explained long before. In some activities, some steps were missing, while some absolutely elementary concepts were mentioned in detail. I also did not like copy paste parts for SQL queries. What do I learn with copy paste? For me this course had very important content, but the way it was thought, was not as needed.

Weird course, it seems like it was done without any planning. The teacher repeats same things over and over again. It is too long, many of the subjects were already covered in previous courses. It is course 5, do we really need to be told what conditional formatting is, for the Nth time? And the whole entire section just about how we should ask people questions and how to use the internet? Sorry but, if we already enrolled into a course, we already know how to use it. Overall, google really missed the target with this one.

The knowledge of BigQuery, SQL and Spreadsheets will be useful. BUT... The instructors put noticably less effort into preparing it than other courses in path. The excercises and tests contain a lot of bugged code and errors in answers. The code, during the whole course, is ridiculously told in obvious sentences (write word xxx and press ; and then press ENTER to move to the next line) but poorly explained why are we using these operations and for what. It needs a lot of additional work in reading and debugging of given code.

Unfortunately out of all of the courses I've taken so far in the Google DA certificate, this was the lowest quality. It was riddled with errors and corrections, and didn't seem to be up to date with the BigQuery public datasets. It was harder to follow through than some of the others, even with a baseline familiarity with SQL and spreadsheet functions. Overall, I did learn a few new things that I think will be helpful as I continue my work in data analysis, but I hope Google considers redoing parts of the course.

The instructor in this course is not a good teacher at all, i have struggled with assimilation throughout the course and i have to watch each video over and over again. i have never had a problem with any instructor but i think she is not fit to teach people this course. She even made a mistake in several videos. i have enjoyed this course the least just because of her. please get someone else for this particular course. i bet im not the only one with this view.

This was the most frustrating course in this series. There were infuriating, time consuming errors in almost every given syntax example. I havn't had that problem at all with any of the other courses in the Google Data Analytics Certificate program. I've just completed the course after this one and it was like night and day. It was back to being accurate and informative. This is by far the worst course in the series, and it was the one I was most excited about.

I didn't learn too much SQL. I was expecting much more hands-on activity and practical skills.

Undoubtedly, the teacher has knowledge but unfortunately doesn't have the skills to pass her knowledge. I had to use other sources to learn SQL.

I was delighted with the previous four parts of the Google Data Analytics course but this one disappointed me. I was expecting us going to go deep into the SQL and spreadsheets but we just barely touched the topic.

This course was very disappointing. The videos had poor quality, the instructors lacked teaching skills, and the content and exercises were outdated and superficial. It made me lose interest in learning, but I had to continue because it was the fifth course out of eight. The first four courses were much better and easier to follow. I hope Coursera and Google will fix this course and make the last three courses more enjoyable and informative.

I was really enjoying and understanding concepts pretty easily during the first 4 modules od the certificate. Now, in this module I am really struggling even though I had some notions on the topics, the trainer goes from level 1 to level 8 in the same video, making incredibly complicated queries, and/or introducing 3-4 new concepts. I gotta say I am feeling a bit upset, overwhelm for such a change in the course delivery methodology!

I feel like this was the worst course so far. The information became challenging as well as fast paced. I don't feel that I genuienly learned much from this course in compared to other courses that can help me be a data analyst. This course just seemed like a part 2 of the previous course rather than a separate course in entirety like the rest of the courses seemed to be. The teacher was not too great either.

The course is about the basic software tools available to perform data organization and not about the actual data analysis. Even a junior data analyst needs to think on the job. Tools are there to aid the thinking. How to think (approach to problems), what to look for, examples of basic and fundamental analytical calculations/functions, where to start an analysis, etc. should be taught as well.

Pretty bad instructor, worst till now. Doesn't speak clearly and loudly, has a depressing facial expression towards the course and work. So many mistakes in this Analyse course, mostly comprises of links, doesn't explain the statements that she is writing differently. Had you people allowed the previous instructors to continue, course would be far more enthusiastic.

From the perspective of a novice, the pace of the individual lessons - especially complex topics covered in videos - was WAY too fast. There were too many times that I had to seek outside information to grasp and learn the concepts that were being taught. So far, this has been my least favorite course of the Google Data Analytics Program.

1. The audio wildly changes between videos. 2. I feel like the SQL content needs to be better explained in a general way for those who are first time learners to SQL. 3. The questions all seem very similarly phrased when learning a new topic: When will you use ___ next? How will ____ improve you as an analyst? Very general questions.

Lessons were not well taught. The SQL practices were confusing and not well explained. It was too fast and too difficult, the transition in speed and difficulty was not at par with how the other courses went. The course instructor was NOT good at all. the course needs serious improvement as well as the instructor

Super disappointed that so many of the queries didn't work when we followed each specific direction.

I truly wasted like 5 extra hours only to find out that there was a fix in the discussion section, but it was not given in the course itself.

(as a heads up, or by the way..)

Class 5 really needs to be updated.

This course should be renamed "Analyze Data in Spreadsheets". It is disappointing that Google decided to focus this entire Career Certificate on Spreadsheets when the defining skills for Data Analysts & Scientists nowadays seem to be SQL Databases and Programming (generally Python).