After reviewing various resume best practices, I found that highlighting quantifiable achievements is key to making a resume stand out. For example, instead of just listing tasks, emphasizing how those tasks led to measurable improvements or outcomes can provide clear evidence of your impact. This can include numbers like increased efficiency, revenue growth, or improved customer satisfaction. For instance, instead of saying "Managed data analysis," I would say "Managed data analysis that led to a 20% reduction in reporting time."

Overall, not too bad. It covers a lot of data cleaning principles, but BigQuery setup can be tedious, and there's some confusion about the free account descriptions. They also crank up the SQL learning curve at times from beginner to advanced, but I can see why they do it. SQL students returning to this form of work could breeze through it, but newer students may struggle a bit like I did. The principles discussed are all still very informative, interesting and important. So stay strong, dive in, absorb what you can.

I wish they seprated the resume and job search topics from cleaning up data. they were drastically different but very useful and needed. I also wish there was a little more details about the differenece of not enough data and using little data. The final quiz questions were harder to answer because they seemed similar, but the outcomes were possibley different.

I learned more from this course than the others. It was a good course and covered what I need to learn with lots of practice opportunities. So I liked it! While this course had the most important content of any so far, it was not well laid out. I flagged some lessons and gave feedback. You might get some feedback from people as they go through it.

Thanks!

I learned everything I needed to know in this module in more from using Excel for fifteen minutes and watching one linkedin course. This module lacks in substance and material, and is missing a module test. I'm on module 4 of 6, which means two modules have been left completely untouched, and I've already been awarded the certificate for completion?

There was a lot repeating and redundancy in the class. Also, several of the quizzes didn't test for relevant or important knowledge. They tested for items that never showed up in the class, showed up later in the class (and thus students could never have been expected to know that yet), or tested more about useless jargon than important concepts.

this is a great course, i'm enjoying learning data analytics and hopefully the near future i'll be able to work as an entry level data analysis. i just with the course had real time experts to help students navigate some on the SQL probelems. that would be a benefit for us that aren't famaliar with data analytics, SQL, Kaggle etc.,

The course was well presented overall. However, there were a few places where I felt lost. Most of the SQL commands presented I could not run in the BigQuery Sandbox. After upgrading to a "trial account" I was able to perform the commands without issue. I think this should be mentioned in the videos.

It's an OK course. I learned a few tricks in spreadsheets, and heard great tips from experts in the field. However, I didn't really enjoy setting up BigQuery account. It felt sometimes that the lecturer isn't using the same version, and just setting up an account wasn't so smooth.

Week 3, 'Transforming Data' first (Optional) exercise Reading: Upload the store transactions dataset into BigQuery.

This doesn't work. Error messages. Unable to parse data around Date and Time. Tried three times.

I suggest you fix the bug and adjust the material.

The process data from dirty to clean was good but the last piece re going through the resume and interview process was wasteful for me. I've been working since I was 16 and just retired. Maybe that should be placed somewhere else and optional.

Week 3 was amazing - a lot of new skills in SQL. Everything else was completely useless - I have seen no point in going through tones of definitions and passed the test even without reading the materials.

I appreciate the positive gained by Google opportunities, but if the full package including the videos, will be granted to a learner, the course utility would have been better.

I would have liked if this course utilized the side by side demo, I think that hands on experience but being guided through the process would have been a lot more helpful .

SQL training needs to improve, a lot of the students do not have experience, and the free version of google is extremely limited, so it does not allow to properly learn.

Regarding SQL I found resources from another website straighter forward and easier to learn like with SQLite. And explanations are good but feels too much stretched

The course on the whole was good but I'm concerned about SQL. I don't feel confident that I learned what was necessary to equip me with the necessary SQL skills.

Very basic teaching, it was too much theory about stuff which doesn't make me better at my Job as a data analyst, should've been more hands-on on SQL spreadsheet

Teacher only used Google Sheets with examples and projects which was not helpful since I use MS Excel for all my work so I was not able to transfer the skills.

Some nice bits and pieces but the sections on CV writing distracted from the main focus of the course. Would be better as something completely separate.

The quizzes should be a more hands-on experience. More room for critical thinking and putting it into practice. Less about regurgitating terminology.

I would like to learn about the functions and tools of spreadsheets, SQL, and Tabulea. This course is a kind of introduction to the main concepts.

This course a was bit of waste of time as it dealth with the basic of resume, process atc which I think is not required from my point of view.

Some hands-on exercises are inaccessible to the user. Had to write to google labs for every assignment dataset, which they sent me to my email.

Too much information crammed into few modules. The course would be better broken down further to one or two additional modules.