Sally is the best instructor in this course so far. The content itself started of great but I feel it didn't cover enough data cleaning techniques in the second half of the course. Still recommend!

It is better to use more hands-on exercises. Some of the obvious topics repeat itself several times such as removing the duplicates. Some of the multiple choice questions have vague answers.

The SQL and data cleaning exercises were fun, but I think the resume building was brought in prematurely. Those topics would be more informative and relevant nearer to the end of the course.

Explications are clear but i think there is a lake of practice about cleaning a dataset. It would be better for learner like use to have more of this kind of complete exercices to complete.

This course was ok but 2 of the last weeks were job interviews and writing resumes. Which don’t belong here. It should have been an optional mini course if you complete the certification.

Some times very repetitive , and some examples are not so clear , it would be better to have just one big example , so as we progress we start to understand the full picture of the data.

4 stars because there are consistently errors in the weekly challenges and quizzes that make the learning process frustrating, and I lose a bit of confidence in the course as a whole.

Does not go deep. The main takeaway should be that they're showing you the tools you need to start your DA/DS/DE journey, but you need a lot more practice to master each tool.

This was probably one of the more difficult sessions. You really must pay attention to every detail and really go over the exercises to make sure you understand the material.

Some of the module videos need to be updated. A few links could not be accessed, there were a few pop up windows correcting updated information that did not match my screen.

very interesting course with a lot of useful knowledge. But need to produce more hand-on practice and dataset to familiar with process. Thanks for very helpful instructor :)

Could use a little more practice on the Spreadsheet and a little more explnation on the SQL functions. But apart from that it was good, much better than the previous course

People have 2-3 years experience in spreadsheet like analst can relate the study material in it. Great knowledge source for completely new or beginner. Happy study guys.

Quite interesting, especially the SQL/ BogQuery part. But for a university undergraduate who had informatics and programming within their degree might be a bit too easy.

Would be helpful in the examples to have a split screen showing what the SQL queries are referring to, saving the mental note every time an explanation is happening

I had a good experience with the course and liked the hands-on activities and tutorials, the only problem I faced was using BigQuery because I did not have a card.

I loved the in depth knowledge of using especially SQL to clean data. I learned a lot. I didn't like or even study the week 5 content on resumes, it was abit off.

Explanation/examples of Nested Queries could have been made simpler and easier to understand. I had to go to youtube to get a clearer picture of how they worked.

I like the course but it is really unorganized!

Loretta Your course is crazy I did 6 courses and only received credit for 3. your program really has no format.

The course is very practical and easy to understand although introductory. I have learnt a lot while learnimg and this has improved my attitude towards data

Huge learning curve for me as I went through all! Now I find the importance of keeping track of or documenting information as very valuable skill to have.

The process of cleaning the data was explained with good examples. However the SQL functions taught could be elaborated more with their alternate usage.

course is overall helpful, but i would like to suggest to put more effort into teach how to create database in SQl, import it and more on syntax of SQL.

I've gained many skills from this course including cleaning data like removing duplcates, correcting errors, removing extra spaces and many things.

It was another great learning process but technical learning like SQL can be more effectively entertained in simpler ways to gain deeper knowledge.