No details explained. Not friendly for SQL beginner, where we can only watch Dr Chuck writing complex codes without knowning the rationale behind it.

This module is really non sence. And it is a wasting of time. We are learning PostgreSQL and like idiot, we are facing python code to solve the assignement as we were in a python course. If you just start the PostgreSQL course, please do not waste your time with this module, you will spend time and money for nothing.

“for everybody“ says it all. Fun, but assignments are mostly brainless copying and pasting. Lack of depth.

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.

This course teaches some niche applications. Not sure if i'll ever have to use them, but good to know what to look for in case it ever comes up at work :)

Great Course and Great Instructor!

Could use some more examples on WHY we need JSON in a SQL setup

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.

Assignments were frustrating due to a lack of explanation and clear instructions.

This is the best course I have taken so far with Dr.Chuck, If you want to learn advanced topics on PostgreSQL, this is the course. Dr.Chuck will teach you complex subjects is a simple way, with simple examples that will give you foundation knowledge so you can master very complex points. This a summary of what was covered at this course : Differentiate between HASH index and B-tree index. Create a reverse index for a table of documents. Utilize stop words with a reverse index. Create a GIN-based text[] reverse index. Differentiate and utilize the ts_vector() and ts_query() functions. creating a natural language full-text index on a column. Compare Python functions with PostgreSQL functions. Connect and compare Python and PostgreSQL. Utilize Python to insert data into a table with a given schema. Load and store JSON documents in a table. Recall which index type is typically used for JSON in PostgreSQL. That"s what I was talking about ! And don"t worry if you didn"t know Python because the examples are very easy on that and you will have templates to guide you so you can follow the course. After all if get to this point something of programming you have to know, and with some basic Python you can manage it and will have a good support on the forums. I highly recommend this course for PostgreSQL fans !

Knowing only a little python and having lost my early enthusisam for postgre, the last two weeks course contents felt a bit advanced, and so I skipped the video walkthroughs. But I feel this is an excellent course for someone more persistent

Excellent course and instructor - I would highly recommend to anyone interested in exploring the 'new-ish' json/jsonb/inverted index support in PostgreSQL.

Week 4 was a titbit challenging, but I figure it out. On to the next one. Lol

Clear explanation of JSON and how to work with it by Python and Postgresql

Excellent teaching, with great examples that explain how the system works.

Excellent course. Lots of useful code demonstration.

Its awesome I can use it in my software development

Excellent, very complete and well explained

Good material and responsive staff.

Thanks for a great course!

Best question and exam

Great, great course!

Very nice

awesome!

Week 3 and week 4 instructions can be a bit ambiguous, however the discussion form posts helped a lot.