useful

Great!

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okay

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good

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nice

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This module was WAY TOO long compared to the other sections, making it feel disproportionately heavy. Out of all the modules, this one was also overly technical, focusing primarily on SQL, which made it less engaging. Unfortunately, I had expected to learn more about core concepts for better data analysis, but the course leaned heavily on technical SQL skills like writing queries and functions. While it’s fine to include SQL, the course seemed to assume participants already had a strong understanding of foundational analysis concepts and theories, and just needed SQL-specific technical help. This approach likely alienates those who are less familiar with these foundational ideas. I wish the course covered more essential analytical concepts such as: Weighting and weighted averages Modeling (descriptive, predictive, or prescriptive) Scaling and normalization Data aggregation Statistical inference (e.g., hypothesis testing, confidence intervals) Correlation vs. causation These are critical to understanding data analysis and would have provided a broader, more valuable foundation. Without these, the course feels incomplete and overly focused on SQL, which not everyone may use in their role. It would have been much more effective to balance practical SQL training with theoretical concepts for analyzing data.

THE GOOD: The course material was high quality as usual: well done videos, plenty of exercise, external resources, hands on style and a lot of useful topics were covered. THE BAD: I don't think this course was well thought through from a purely didactic standpoint. I didn't always have the information I needed to follow new lectures or answer questions. Some came later in the course, which means the topics order is wrong. Some were never covered, like SQL IN. Sometimes I got the feeling that I was supposed to be studying those external liks, but then the estimated time for this course would be totally underestimated. That 1h of this course lasted longer than 1h from the previous is a general feeling I had. Maybe because the Google Analytics Certificate, this fifth course covered harder subjects that the previous, expecially SQL. First, that should impact the expected time to complete. Second, I don't think the vague definitions, loose rather than formal, hands on rather than theoretical approach used so far is enough for a topic like SQL. I would have appreciated a bit more formalism and a bit more theoretical context.

I think this course had it's ups and downs. It was easily the messiest of the courses so far because the instruction of concepts was all over the place. One moment your learning about one SQL function, then all of a sudden your introduced to like three other ones that have never been taught until like later into the material. The instructor also did poorly in teaching and explaining what she was doing for some of the SQL queries, especially in week 2 and 3, where she just types a SQL query out and done, without any explanation of what she is doing or why she is doing it. This was one of the courses I was excited about coming into the program, and even though I learnt a lot about the different SQL functions, I felt pretty disappointed in how it was taught. Kind of wished we had the previous instructor for the data cleaning to teach this course as well because she made it easier to understand and actually went through the step by steps of different queries.