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Learner Reviews & Feedback for Databases and SQL for Data Science with Python by IBM

4.7
stars
21,832 ratings

About the Course

Working knowledge of SQL (or Structured Query Language) is a must for data professionals like Data Scientists, Data Analysts and Data
Engineers. Much of the world's data resides in databases. SQL is a powerful language used for communicating with and extracting data from
databases. In this course you will learn SQL inside out- from the very basics of Select statements to advanced concepts like JOINs. You will:
-write foundational SQL statements like: SELECT, INSERT, UPDATE, and DELETE -filter result sets, use WHERE, COUNT, DISTINCT, and LIMIT
clauses -differentiate between DML & DDL -CREATE, ALTER, DROP and load tables -use string patterns and ranges; ORDER ...
...

Top reviews

BS

May 21, 2020

Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!

JT

Apr 26, 2023

Great course easy to follow, very good notes, videos and guidance on how to complete the assignments. This is a great introduction course to begin your knowledge and training to be a Data Scientist.

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2976 - 3000 of 3,129 Reviews for Databases and SQL for Data Science with Python

By Mahmoud H A

Aug 5, 2022

the laps not easy to deal with i hope they change it , and also they donot explain everything that exist on laps

By Gopendra M

Nov 15, 2019

DB2 is out of the marketing not many people want to learn it, maybe it's time to upgrade it to something latest

By Eric B

Apr 10, 2025

IBM DB2 would not cooperate at all with me during the course. I reached out for help and never received any

By Darshan K

Jun 16, 2023

Lab is not accessible, In every video feel like machin volume, video should be look like someone teaching

By Christophe D

Jun 13, 2020

The use of IBM cloud was really frustrating as it was very slow and didn't work most of the time.

By WenQiang H

Feb 16, 2020

As a serial course in the "specialization", it's too simple, just made the learning path longer.

By Magdalena R

Dec 30, 2018

The content is adequate but I found it a bit boring. The classes did not keep my interest.

By jmaritz328

Oct 27, 2021

Needs to have a lot of work done on the Peer graded assignment department of the course

By Ibrahim A

Apr 7, 2020

Please review this course assets! especially IBM DB2 cloud service's availability !!!

By Alexander W C

Jan 15, 2020

The IBM service tutorial was hard to follow. Layout of the application has changed.

By Omolewa O

Oct 18, 2022

I'm just glad i did Google data analytics program before this if not i'd be lost

By Xinxin Z

Aug 27, 2019

The cloud system has so many problems which will prevent us to submit our works.

By Alexis G

Sep 12, 2024

Not clear enough. Could be more intuitive with more guidance in the exercises

By Moon Y

Jul 24, 2022

Some content are very confusing. Bad experience. Lab is not so good organized

By Mate S

Oct 16, 2023

the add-ins for practical exercises are a little weird and hard to navigate

By Shuang.W

May 3, 2020

so many stuff are out of dates and some instructions were very unclear.

By Zuriel Y Y R

Dec 11, 2024

Shallow, evaliations are not challenging enough, robotic explanations.

By Raeesah

May 16, 2022

alot of the instruction were not clear especially on week 4 and 5

By Tanner L C

Nov 16, 2018

Very poorly done. Not enough information on working in the cloud.

By Aaron

May 22, 2023

Many more problem sets needed for both Jupyter Notebooks and Db2

By Ria “ T

Jun 2, 2021

The assisgnment is poorly worded and working in DB2 is a pain

By Oleg S

Sep 29, 2020

every material in course not match interface of the programs

By Gennaro R

Jul 13, 2022

With respect to the other courses, this one is super boring

By BOGATHI H K R

Dec 14, 2023

IT'S NOT PRACTICAL COURSE THAT'S WHY I AM NOT INTRESTED

By Thomas S

Jun 13, 2022

Partly labs not working, tasks unclear, could be better