Sally Did an excellent job. For me, she is essentially the only instructor whose speech has been very clear Yet. I totlally enjoyed her jovial nature too as it kept me engaged when I was almost losing interest.

It got a bit overwhelming at some point but it was expected. Now that I am done, I am happy to have learned quite some useful tips to help me on my Data Analytics Journey. More skills to my toolkit and also for my career advancements. Onto the next one!

It is an essential part of the program, where you are diving into real problems with real solutions.

You receive lot of tips about how to work with SQL and EXCEL.

Additionally, you are introduced to new communities, like Kaggle, plenty of options to increase your knowledge out of the formal program.

It helps you to create your own Curriculum Vitae and to point out those key elements important to achieve a position as junior analyst.

I am so grateful to the instructor of this course, who made all the hard parts easier and understandable. What I would like to point out is that I was not able to follow along with some practices since the instructions were unclear. I was also experiencing technical issues with the lab and dealing with BigQuery. Additionally, I was able to find some materials and exercises on the other platform to practice more.

Quite useful and described the mechanics of cleaning data in detail, although more depth and examples would be useful, especially in SQL. Would also be nice to talk about survey designs or data collection that can minimize the effort in cleaning data (such as limiting codes to 5 spaces). Overall a nice course and hope that it can further expand a bit with more examples and useful commands/formulas

This was a nice overview and I particularly enjoyed the hands on activities with SQL, but there were a few grading errors in quizzes between versions and I would have liked to understand more about the more advanced cleaning tools -- like how to deal with a column of data that has varying string data in it as in the Bay Area Coffee Shop example. Knowing how to handle column B would have been great!

At first I had some reservations, but I ended up liking this part of the programme. It'd definitely benefit (or learners would benefit) from more hands-on practice and harder assignments, but overall I feel that I've learnt a lot (I'm a true beginner). The optional career building section was insightful enough, I will definitely use the tips in my future job search.

I loved the content and I am proud of the work i have done so far. Only thing i would like to be improved on this particular course 4 was that the SQL queries could have been taught for a bit longer and could have broken in to more sub lessons for building a strong foundation. I am going to work on SQL from some other sources as I know this might not be enough.

The issues covered in this course are important for the preparation of the data to be analyzed. The guidelines for assessing the sufficiency and quality of the data and the tools for data cleaning have been useful. The didactics for the application of some SQL functions is still weak, I'm not sure if I could apply the examples presented to other situations!

The instructor for Section 4 has been the best by far. She is great at explaining the material, understanding, and she genuinely seems honest. The last course challenge did not have any programming questions, which is not the best idea. As majority of the section focused on SQL, not a single question on the final course challenge.

This course was very well developed and the addition of hands-on exercises was quite helpful to learn and practice SQL and spreadsheets. However, it could be made better if the course developer allows the students to have access to BiqQuery for a time being so that they are not limited to few functions that are allowed in sandbox

A lot of information here, but very approachable, even for a beginner. I think the supplemental section related to resume-building and job prep is nice too, especially to refer back to later. Generally speaking, this was put together well, though I would have liked more optional practice exercises with the SQL concepts.

Everything was perfectly explain by the instructor except that the practical aspect needed more examples and explanation for especially people changing career path. But all the same, the instructor was vintage and her mere presence radiated expecially her smile and disposition. Was a great experience by all standards.

Case example on cleaning data wasnt good enough for me. They assume we already know where the errors are, but how to clean data when we dont know the error yet?

example :

"assume you know there is a duplicate on customer id"

but how if I dont know that there is a duplicate on customer id? how can I find it by myself ?

This is a pretty extensive course. I am already familiar with Excel, but I found that section particularly useful. I like the way the SQL QwikLabs are organized with the repetition of commands. Unfortunately, not all of the commands work (UPDATE and DELETE). The big picture with the stored data is also a mystery.

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.

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.

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.