Learner Reviews & Feedback for SQL for Data Science by University of California, Davis
About the Course
Top reviews
AL
Aug 21, 2020
A comprehensive course that covers major aspects of query building and retrieval in a management system. The topics were delivered well and the materials/assignments were relevant for skill-building.
AT
Nov 17, 2020
Well it was a short course, the assignments are a little bit repetitive (mostly in the last). The course reviews every 'practical' aspects of SQL, how to assemble the bricks while writing queries,...
3051 - 3075 of 4,380 Reviews for SQL for Data Science
By Ángel G
•Sep 6, 2020
GJ
By vishal c k
•Aug 31, 2020
..
By Sowmia M
•Aug 3, 2020
nj
By Guillem G P
•Jul 29, 2025
-
By shreyas l
•Jul 14, 2025
.
By Kiran V
•Oct 18, 2023
-
By DIEGO M P Q
•Mar 29, 2023
9
By Md S
•Nov 13, 2022
g
By Alperen K
•Aug 18, 2022
x
By Aditi D
•Aug 16, 2022
-
By RAVIKUMAR C
•Aug 14, 2022
I
By Jasper D S
•Oct 4, 2021
By Nisarg C
•Jul 20, 2021
.
By Arif S
•Jul 8, 2021
g
By CHRISTIAN M T
•Dec 18, 2020
E
By Pierre K
•Nov 30, 2020
.
By AJEET S
•Nov 7, 2020
i
By Med E
•Oct 9, 2020
.
By Ayman M
•Aug 24, 2020
a
By Dwi F A
•Aug 23, 2020
-
By James J P
•May 8, 2020
I
By Omkar G
•Mar 11, 2020
.
By Magne V
•Jul 12, 2019
E
By Ganesh L
•Dec 5, 2018
E
By Ruohan X
•Sep 2, 2025
A very helpful and valuable course with introductory lectures and practices to get into SQL. The lectures are very digestible, with small and useful quizzes throughout to consolidate the learning. The class is structured well: from basic concepts (what is SQL, what it is used for, what's the benefit of them) to writing slightly more complex queries, as long as you follow through, you'll have a good foundation for using SQL going forward. However, I do think the class may benefit from just one more 'glossary' lesson at the very beginning of the series before diving into the real content to connect the computer science/data science terminology with laymen terms. For example, as someone who works in the basic sciences that has a different definition for 'data modeling', learning what data modeling means in SQL was a surprising but useful fact. Additionally, the datasets could benefit from some context. For example, for the final project (or any project that may involve data manipulation from datasets provided), it would be great to include some data codebook so we know exactly what the data file and the column headers mean before creating new tables/importing data. This could simply be a tutorial video or a website link to the dataset that was provided. Overall very cool class to prepare me for further SQL adventures!