This 4th course helped me in introducing to open datasets and how to use them for data analytics, as a ML student, understanding and learning sheets made me realise how easily data can be cleaned rather than using python of the same task. The introduction the SQL was not that great though, it was pretty basic

The SQL part may be organized better. I get that the technicalities are not taken as in other standard courses, but I feel like it's too dispersive. Some section was called "data cleaning with SQL" and there was literally no trace at all about data cleaning with SQL.

The section about the CV is simply GREAT.

Great course in learning how to clean data on spreadsheets and datasets. I now have a good feel on how to approach data cleaning, documentation, and verification. My only suggestion is that during the online cleaning spreadsheet exercise you give a few more examples in Excel in addition to Google Sheets.

The course is engaging and if you are new to Spreadsheet and SQL, the presentation of the course will demystify it all. Sally is wonderful and she handled the course with mastery.

Ah, least I forget, are you looking to pivot, in this course it will prepare you for the job market, so no fears.

It was simply incredible with the hands-on approach and real life applicability of the topics covered. My data cleaning skills were greatly enhanced. The course not only opened my eyes to defects in my Resume, it also instilled in me the abillity to rectify them and upgrade my Resume.

I found it quite good at walking through the steps and some helpful commands to use while cleaning data. It was also useful to see some common pitfalls that occur when processing data. I would have liked more real-world datasets to see just how messy data can be!

Course content is very informative

I am not able to practice the BigQuery part for QuickLabs as it is showing no permission warning.

Though i have started it for free it is not allowing me to create dataset hence i could not practice properly.

Please help.

This course is not superb as the line is blurred somewhat between the 'prepare' and 'process' steps, especially given we have gone this far into the series and probably want to really focus on the break down of the steps. But still is a good course.

Very educational and insightful. I've gained an understanding of what a jnr data analyst does to express intergrity and where they fit in an organization or a project. Pity about the repeated errors in the FROM statements in the query exercises.

Good SQL skills, a little too much fluff though, but that may just be because I already have resume experience. Also, I feel like course challenge should be a little harder. But, good next step in continuing to get the certificate overall! 4/5.

L'une des premières étapes cruciales de tout projet d'analyse de données est le traitement des données brutes. Les données brutes, souvent appelées « ventes », sont rarement prêtes à être analysées sans passer par un processus de nettoyage.

This is an ideal course to learn the basics about data handling and cleaning. It provides hands on practice on a few of the topics and a base for further exploration. Overall, a great learning adventure to data science enthusiast.

The material is good, but there were some frustrating technical glitches. The Google Sheets didn't match the UI for some of the data processing in the video and some of the quizzes didn't load all of the details for the questions.

Good overall. I'd like a deeper or more technical view of the statistical concepts for data testing, or maybe some more practical hands-on problems in which you are required to calculate those to provide the correct answer.

Overall I loved how enthusiastic the instructor was and her humor as well. There were a few sections I did not quite understand and had to do some outside research for but overall it was easy to follow and understand.

I found the instructor personable, enthusiastic, and a clear communicator. Topics were presented in a logical manner, and at a great pace. I wish there was more SQL instruction, but I'm grateful for the career advice.

Some content can be explained in a bit more detail. For example, there's an explanation that SQL can track changes, but how?? Also, it would be best if some of the multiple questions can be checked again for accuracy.

Le contenu concernant le language SQL est intéressant, mais les partie telle que les CV et le recrutement sont de trop. C'est très long pour des notions qui pourraient être condensées avec du contenu plus court.

There were few spreadsheets' tools definition with no explanation of How does this formulas or functions work in order to perform a task or activity, would help a lot same for SQL, how does these software works?

A hands-on approach with various technical features, mainly regarding spreadsheets and sql. Interesting exercises with guides, its just unfortunate that mentors seldom answer questions effectively in the forum.

I learned a lot, but I think it would be better if you made the quizzes/ course challenges more practical. Instead of asking what the learner should do in a particular scenario, make the learner actually do it.

It was a fundamental and intense course, but the only disadvantage is an endless try to login into Google Cloud Platform for the sake of using SQL, which usually kicks you out due to some limitations, etc.

I learned about the importance of cleaning the data in order to carry out proper analysis and conclusions. Also about the importance of preparing my resume and clearly expressing my skills and knowledge.

Very informative and practical. It's a bit harder than the previous, but with the bite-size approach, it is less intimidating. The teaching method by Googlers is less dry than most academics at Coursera.

Awesome couse, explanations were very clear and concise and all the readings weren't loaded with unnecessary information. To make this a 5 star course I would add more SQL excercises for cleaning data.