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

4.8
stars
17,967 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!

NN

Aug 26, 2022

S​ally is the best instructor of Google data analystics courses so far. Others are also good too. But I really love Sally's teaching way. She is so clear,knowledgable, and passionate. Geat course!

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By Richard C

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Jun 17, 2022

I really like the course overall. The instructor is great. I love the videos and I think that they are some of the highest quality that I have ever seen on ÌÇÐÄvlog¹ÙÍø¹Û¿´.

My criticism has to do with the quizzes. I honestly found the quizzes to be ridiculously nitpicky to the point of being almost funny. I'd watch around an hour of videos for a week, read everything, and then I'd have issues with certain mulitiple choice questions. Sometimes for the mutiple choice questions that require a single answer, I think at least two of the options are arguably acceptable, but only one is correct. It gets goofy when the questions overly emphasize definitions of non-technical terms which are stipulatively defined in the videos and then we get quizzed on extremely precise aspects of those definitions. In general, this makes the quizzes a lot harder than they need to be, but in a way that is artificial and doesn't really do anything to help us learn. You could learn this material, be able to do the SQL queries and data cleaning in spreadsheets easily, and then still have an issue with the quizzes. That ends up making a great course into a really frustrating experience.

By Deepak

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Sep 10, 2024

This course offers a comprehensive introduction to data analysis, covering essential topics like SQL, data cleaning, and resume building. The structured format and practical exercises make complex concepts accessible and engaging. I particularly appreciated the hands-on approach with real-world datasets and the focus on resume writing, which is crucial for job readiness. The course materials are well-organized, and the step-by-step instructions for each topic are clear and easy to follow. The inclusion of best practices and real-life examples enhances the learning experience. However, some sections could benefit from more interactive elements or additional practice exercises to reinforce learning. Overall, it's an excellent resource for anyone starting in data analysis. It provides valuable skills and practical knowledge that can be directly applied to real-world scenarios.

By Sherry R

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Nov 14, 2023

While this is all fascinating, I feel it went by very quickly and that I didn't get enough practice with all the SQL and even spreadsheet functions. I am not confident that I really know all this and will definitely need to review a lot of the videos, probably make flashcards, review the glossary, etc. It's kind of cumbersome, with the templates and stuff, to follow along with the videos while the instructor is talking. This is something that either needs to be viewed more than once (although of course some people learn faster than others, and some come into it with experience others don't have), or needs extra time studying on one's own. I really love it, don't get me wrong, but I don't want to rush myself and then realize I don't really understand, know, and remember everything. So, what I'm saying is, be prepared to spend more time on this section than the previous ones.