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Learner Reviews & Feedback for Process Data from Dirty to Clean by Google

4.8
stars
18,005 ratings

About the Course

This is the fourth course in the Google Data Analytics Certificate. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL, as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Check for data integrity. - Apply data cleaning techniques using spreadsheets. - Develop basic SQL queries for use on databases. - Use basic SQL functions to clean and transform data. - Verify the results of cleaning data. - Write an effective data cleaning report...

Top reviews

LR

Sep 15, 2024

The info is well worth it whether you are a novice user or experienced, whether you are going into data analytics or not. The style of teaching and learning continues to be very impressive at Google!

VC

Nov 9, 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.

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2901 - 2925 of 3,050 Reviews for Process Data from Dirty to Clean

By stefffraser

Jul 24, 2024

good

By THUNUGUNTA Y

Jun 20, 2024

good

By Haftamu M

May 25, 2024

Good

By Iwunze F C

May 24, 2024

GOOD

By kavita c

Mar 28, 2024

good

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 21, 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 16, 2023

good

By suraj k

Dec 21, 2022

well

By Sreenu S s

Nov 12, 2022

good

By norzaidah b m

Aug 5, 2022

good

By Mohit V

Jul 13, 2022

nice

By T. B

Mar 23, 2022

good

By Siddharth N

Oct 7, 2021

good

By GHINADYA

Mar 9, 2025

oke

By Ivana S

May 23, 2022

...

By KARAN G

Aug 3, 2024

gh

By Joojo S

Apr 6, 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.