Awesome

useful

Great!

Great

okay

Great

great

Good

good

good

good

good

good

good

good

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nice

Good

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fun

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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.