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I believe this course is great, but its lacking more in depth examples of how to properly use SQL, Spreadsheets, Database Systems, Formulas and a few other things. As I have stated before, there needs to be a [live chat] available to speak to someone when in need. As I am new to all of this, I have had problems understanding a few things as mention in the above statements. This is causing me to stop or rethink about this whole course why? If I can not understand fully one stage of course how can I continue moving forward with the rest of the program. I will be lost trying to work at things as they get harder because I don't fully understand even the basic requirements. I won't be able to put things together when the time comes. Its very upsetting for me, I don't seem to get the full story in each stage of the course, this will only lead me to think that I know how to do things, but in reality I don't even no how to do the basic things, I feel so lost at times.

I found that most of the course was trying to remember glossary terms and too much stuff about meetings. I don't think it was that worthwhile to be honest. I'd rather learn more about how to do things in analytics instead of learning acronyms and suggested process steps. I also think some of the questions asked in the quizzes are not worded properly and can lead to the attendee choosing what the test preparer thought was a wrong answer. I disagreed with some of the things the test preparer thought were "wrong" in many cases. Hoping the rest of the course is not like this one and actually shows the attendee how to do things instead of a bunch of lingo and terms that basically just amount to "ask a lot of questions of your stakeholders during a project". The excel/sheets stuff was very basic and I had to put it on 2 times speed just to get through it as it was basic stuff I already knew.

As someone who takes this as a part of the Google Data Analytics certificate, I enrolled in this course with the expectation that I'll get to learn how to ask questions and decide on what kind of data is suitable for each data project. But this only took up about 20% of the course, which is quite disappointing given how they market the certificate as "each course will cover one step of the data analytics journey". Towards the end, it felt like they ran out of things to cover when they started discussing other topics like excel basics, communication or teamwork. While at the same time I still didn't feel totally confident about the "asking questions" component and there are definitely more things that can be covered. I totally understand how these skills are helpful as a data analyst, but don't think the flow of the certificate is working very well.

I learned alot during the course. It still seems a little disconnected between working on a desktop, tablet, and smartphone. It seems the lessons don't update in between those devices.

Also, I missed a question on the final quiz of week 4. The question was about asking questions to get proper data from customers. I missed half a point for NOT selecting an option that did not give a definitive answer on whether the customer was satisfied with the vender's services. I thought we needed to ask questions that extended beyond YES or NO.

That was my only issue with this course. I feel I should've gotten full credit for the question. I also wanted to make sure that I understand that if I retake a test to get 100, do I get that score, or is my grade docked a couple points because I had to retake the quiz?

If you have an undergrad degree or experience in science and working with a spreadsheet, this course info is pretty straightforward. I took the quizzes first and mostly passed before reading through the weekly content. It was boring at times. I feel like it could've been half the length that it is. I do like some of the examples they give, you know, for context :p . I'm going to keep doing the next course in this certificate, hoping for more time/exercises using SQL and databases.

If you have no experience with how to work on a team or how to use a few functions in a spreadsheet or just out of high school, this will be informative. Important vocabulary is repeated throughout the 4 weeks and it is a good intro pace. It's an introduction to some tools and working with a team/supervisors.

I'm giving this portion of the course 3 stars, it bleeds into project management/business analyst too much. While there are some hands on activities doing spread sheet exercises I think it just falls short of what data analysts are suppose to do. I'm on module 3 currently near the end you have to mock up a scope of a project. While it's a good skill to learn, it doesn't benefit us the learners. There's too much of developing right questions for a case study, to me it feels like that's something a business analyst is doing already. I feel it would be better suited to have students really deep dive on how spread sheets work. There's only a small section of it and it lists resources to further read, but there should be more exercises on it.

2,5. Better than the first course in the specialization, but still there is a lot of space for improvement. My main impression is that the course includes a range of not necessarily connected topics which don't really fit into the 鈥渁sk questions鈥� subject. I think that cooperation & communication topics should be limited to specifically data analyst-related problems. The rest of the topics could be easily included in a separate course on how to cooperate effectively in a work environment and would be applicable to a wider range of jobs.

Similarly as in the first course, a lot of 鈥渢alking head鈥� videos, almost zero visualizations / gamification. Google Sheet Guided Project was refreshing as a type of activity, but still very basic.

I liked how this course is preparing us for the job and what to expect while at it. However, I feel that it was too soon to introduce us to concepts of meeting, behaviour at work environment etc. Moreover, the course instructor's voice (speech) was not clear and felt monotonus most of the time, and her gestures although forthcoming but were too loud and distractive. Furthermore, the video quality on the day 1 of shoot was unpleasing as the colour temperature was set to be too warm which caused eyes strain after a certain time. This however was not a case on the day 2 of shooting where the temperature was nuetral.

I am getting oriented now, but it has taken me a while to see how the course is Trganized. Also, there was a quiz that asked questions about SQL and database and there was no table to reference. I just guessed and got it right, fortunately. I understand that it is important to be able to interact with fellow workers. I value it. But I don't think that hooking up with people also taking the course is helping. I want to learn from people who know what they are talking about. I can be confusing to get sidetracked by focusing on people who are spitting in the wind as much as I am.

This course, compared to the previous one, is a bit more vague. Sure, I gained some more spreadsheet competences, which is great. And sure, I need to be educated about good norms like preparing a scope of work or communicating effectively. But it wasn't very clear what the common thread was. Especially the first half of the course was confusing. Part of the problem is that many of the definitions given are pretty vague or, in my opinion, inaccurate. Like the definition of secndary stakeholders, or structured thinking, to name a couple.

Pros

1. The presenter was clear

2. The advice about communication was valuable

Cons

1.The content seemed disconnected. I didn't know why spreadsheets were connected to the other content. It seemed like a jumble of different ideas

2. The practice tests and challenges are not at all challenging. The final quiz didn't actually require doing any spreadsheet calculations. In fact I didn't need to even open up the spreadsheets at all

3. The time aproximations are way over. It takes me about 1/5 of the time to complete then what it says.

The contents of this course are very useful, thanks about it. But as a former training video maker, I can easily tell the instructor was reading the teleprompter or notes in front of her all the time, she even read some words incorrectly. To me, she didn't look as professional as the Course 1 one, the way she read the notes sometimes distracted me. In addition, the way that the words on the side monitor (next to the instructor) looked odd to me too, for example there are lots of times I saw the editor put the text on the logo

There is no learning or experience prerequisite for the course so it must be very, very basic, and it is. If you have any business experience or graduated with any type of business, computer, manufacturing, healthcare, etc degree you had courses that addressed the topics covered in this course. I would not call this course a waste of time because it is presenting the material in the Google style. Just realize that you may have seen it before and need to see it in a different way.

Some things were good, and some were bad. Overall I would say that this one was weaker than first. It was off topic sometimes, but I would not say that it was useless. The instructor is lovely and explains everything clean and very understandable. You will learn some basics about Spreadsheets ( I count this as off topic) and how to communicate and analyze stakeholders (would be better if optional). Still, it gave some key concepts and information (like SMART questions)

The course was fine overall but I didn't like how the SMART questions/Qualitative-Quantitative data section was handled: in the first place, the related lessons lacked more examples, in my opinion. As a student I would like to learn and review as many real-life cases as possible before starting to put them in practice myself. Secondly, I had several difficulties during the course exam because of that, since 2/10 questions were about this specific topic.

Some of the information provided, especially regarding teamwork and communication, was a little bit redundant and common sense. Although this was a brief introduction to it, I also wish that the spreadsheet techniques shown were a little more complex. The primary presenter's speaking voice was also a little bit difficult to listen to due to the tone and enthusiasm of delivery, and I had a little difficulty staying engaged with video segments.

Si bien incluye informaci贸n importante como la estructura de las SMART questions y fuentes interesantes de Open Source data, me parece que todo lo que tiene que ver con b谩sicos de Sheets y Organigramas de empresas; as铆 como el adecuado funcionamiento, estructura y desarrollo de una junta de trabajo; pertenecen a un grado de sentido com煤n que no necesariamente considero necesario como parte de la formaci贸n de este bloque.

This felt like a basic course that explained the organisational behaviour of data analytics. touching a few important concepts like dealing with a conflict, asking the right questions, and the basics of the spread sheet.

It would be more interesting if they have introduced more activities on a spread sheet, handling of dashboards in excel or spread sheet.

but anyway it was good exposure. looking forward to the next course.

For the information covered, this course videos and text could have been more concise. There were more words than needed. One perspective within the course that bothers me is how high-level staff e.g. VPs are considered primary stakeholders, while low-level staff e.g. blue-collar workers are not, for projects where the blue-collar worker is key. This reflects a bias against low-level staff in stakeholder assessment.

The video content should be condensed to under four minutes focusing on core information. There are many redundancies between videos and readings. Technical skills and conceptual understanding would be separated into different courses. It is unclear how spreadsheets and working with stakeholder are related. Compared to other courses, this one was less engaging due to length, repetition, and unrelated mix of topics.

Overall, this was a very informative course. The presenter was clear and easy to understand. The reason for the 3 star rating is the final 2 weeks of the course. While week 1 and week 2 were easy to digest, by the time you completed weeks 3 and 4, the information from the previous 2 weeks seemed so distant. I would recommend downsizing the sheets sections so the course as a whole is easier to retain long term.

I had really high hopes for this course, but from what was covered, I have definately already had experience with asking questions, how to write emails, and how to get along with co-workers so this felt very out of place in a data analysis course, I understand those skills are imperative to being on any team, but I don't think they should have been included specifically in Google's data analysis program

There are many good things going on with the course, and I believe it covers important topics. That being said, I am a bit disappointed. This is a Data Analytics Course, so I was hoping for more practical lessons. I want to actually learn how to use the various software. While I already am familiar with R and Excel, I wanted to further my knowledge. Until now, we covered things that are far too basic.

The parts where spreadsheets were explained were too basic and the pace was too slow and boring. Meanwhile, the parts wherein SQL was discussed were rushed compared to the pacing of the spreadsheet explanation. Making it difficult to actually learn the basics of SQL. I did not like that they did not edit the instructions in the guided assignments to align with the updated BigQuery interface.

I think this is a great course and does a wonderful job at breaking things down for all learners. The issue I do not like is that it seems this was rushed to fit the times of the pandemic. Videos state they are a certain length then they get cut off before the ending and when it comes to quick labs you are not able to see the full layout making it hard to read the words written.