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Ratings and Reviews for JSON and Natural Language Processing in PostgreSQL

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Reviews and Ratings

4.5

118 Ratings from Coursera

Reviews

<co-content><text>Extremely outdated, frustrating, and poorly maintained course This course was one of the most frustrating learning experiences I have had on Coursera. The biggest problem is that the course materials are clearly outdated, but the instructors have made little to no effort to update them to match the current tools and platforms. The instructions repeatedly refer to interfaces, buttons, and workflows that no longer exist. For example, the Deno Deploy assignment tells students to use a “Playground” environment and follow steps that do not match the current Deno Deploy interface. Instead of learning the actual technology, students waste hours trying to figure out whether they are doing something wrong or whether the instructions are simply obsolete. A good technical course should reduce unnecessary friction and help students understand concepts. This course does the opposite: it creates confusion through outdated documentation, unclear instructions, and a lack of maintenance. Students are forced to debug the course itself before they can even start debugging code. The assignments feel like they were written years ago and then abandoned. Technology changes quickly, especially in areas like cloud platforms and developer tools, so failing to update instructions makes the course misleading and unnecessarily difficult. The instructors clearly have valuable knowledge, but the delivery and maintenance of this course are far below the standard expected from a paid online learning platform. Updating screenshots, revising instructions, and testing assignments against current versions of the tools should be the bare minimum. I would not recommend this course unless the materials are significantly revised and brought up to date.</text></co-content>
<co-content><text>Excelente!</text></co-content>
Demo videos' audio hisses all the time. The lecturer describes the commit method as if it was just flushing. The code examples/templates are intern-level: just ugly code-style-wise (PEP8 weeps tears of disapointment whenever it glances at these), undocumented (the lecturer even removes some instructions from the code, because does not remember why it had to be put there xD, despite boasting about this code having been polished "for two weeks"), or full of poor logic, and I cannot understand how the lecturer can boast so much about calling a `close` method at the end of the entire script while there is no try-catch-finally block that could ensure that the resource would be closed properly on errors or signals. There are special seconds-long sleeps put around the code so that he can ctrl-C at the proper moment xDDD. He boasts about no needing to write proper try-excepts "until sth blows up", but ofc nothing will blow up if one ignores all errors with `continue`s and without any error/warning logging. And, on top of that, some quiz questions or answers are unclear, including one that tries to make you choose whether `String.split`or `split` is a proper Python function to split a string, while neither exist at this point of strictness (because it is `str.split`).
great way to introduce general sql skills while focusing on text search and exploitation
The last two modules, the curse turn in the wrong direction, i decline the curse.
Assignments were frustrating due to a lack of explanation and clear instructions.
awesome!
Dr Chuck is a great teacher. Unfortunately for Assignment 4 of this course, I felt that the question was poorly worded and that led to a lot of students having a hard time understanding what was required to complete the task Nonetheless, all courses in this postgresql series and its learning benefits outweighs this small bump.
The final assignment of this course was much difficult to understand as it was not mentioned in good way. And bacause of that it takes a time to complete the course. But Overall course and lectures, videos, and other assignments were interesting and very much self descriptive.
Could use some more examples on WHY we need JSON in a SQL setup

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