LT
Jul 9, 2023
I'm glad I took this course. The instructor is warm, upbeat and very clear. The materials are very informative and helpful. I gained more understanding of cleaning data as well as built my SQL skills.
VC
Nov 8, 2021
Probably one of the more technical courses of the program developing your technical skill set and actually preparing you to become a data analyst by introducing more hands-on Excel and SQL exercises.
By Masroor A
•Feb 17, 2024
best
By LOKESH J
•Feb 8, 2024
good
By Avanish k y
•Jan 14, 2024
Good
By Ayushi B
•Dec 20, 2023
Good
By Anuradha A
•Dec 18, 2023
good
By NIKHIL M
•Nov 24, 2023
good
By Samarth C
•Aug 6, 2023
good
By abdulaziz a
•May 15, 2023
good
By suraj k
•Dec 21, 2022
well
By Sreenu S s
•Nov 12, 2022
good
By norzaidah b m
•Aug 4, 2022
good
By Mohit V
•Jul 13, 2022
nice
By T. B
•Mar 23, 2022
good
By Siddharth N
•Oct 7, 2021
good
By Ivana S
•May 23, 2022
...
By KARAN G
•Aug 3, 2024
gh
By Joojo S
•Apr 5, 2023
OK
By Daniel R
•Jul 10, 2022
Dear teachers, These’re a couple of obstacles I found along the way: 1. In reference to the syntax symbols, I find it very difficult to know before hand when I have to introduce one between ‘___’ or “___”. Would you be clearer on that explanation? 2. Optional: upload the store transactions dataset to BigQuery: I could not cut and paste Step 11, for some reason (I tried several times). 3. Why must some functions be written in parentheses and some other not? DISTINCT, for example, doesn’t have parentheses, while CAST does. Could you please explain those basic concepts of the SQL syntax?
4. In one of the videos, “Documenting results and the cleaning process”, you jump from Pivot Tables and other spreadsheet features like Find and Replace, to Big Query without telling, which makes it difficult to follow along. I'm doing my best, but sometimes, especially in reference to the SQL syntax learning, I'm not achieving my goals, and feel very frustrated.
By samuel c
•Oct 26, 2024
several practical exercices don't actually bring the expected results. I struggled more with using bigquery than i spent time actually learning SQL. I think the most troublesome part was creating tables (creating datasets was not a problem) : there was always a problem and it took me a long time to solve most of it (it's kind of okay now). I'll probably have to find more information somewhere else to catch up. The teacher is good and so is the pace but the practice is not as efficient as the one I had with the spreadsheets. I may also add that it would be great in the future to allow Coursera students to get access to some functions in the sandbox like updating or deleting in SQL, just so we get a chance to try it. To summarize : good teacher, good content but BigQuery is definitely not as user-friendly as R.
By Ali Y
•Oct 29, 2022
This course is structured poorly. More reading materials are needed for SQL. Also, content and materials for inidviduals with no prior experience in progrmaing are necessary, because the right foundation is key for proper understanding and mastering of whatever is taught.
another consideration is the stagerred and overlapping topics among different courses is really confusing.
It is much better to make courses more especialized. For example, one for basics, one for spreadsheets, one for SQL, one for CV and findng the right job instead of talking a little about each topic in each course, which is really impractical and confusing if not provoking.
By Mohamed E
•Oct 2, 2024
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."
By Mac R
•Feb 21, 2024
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.
By Jyotsana M
•Aug 16, 2022
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.
By todd f
•Apr 11, 2022
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!
By Anthony B
•Jan 13, 2024
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?