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

4.7

stars

22,549 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 and GROUP result sets, and built-in database functions -build sub-queries and query data from multiple tables -access databases as a data scientist using Jupyter notebooks with SQL and Python -work with advanced concepts like Stored Procedures, Views, ACID Transactions, Inner & Outer JOINs through hands-on labs and projects You will practice building SQL queries, work with real databases on the Cloud, and use real data science tools. In the final project you’ll analyze multiple real-world datasets to demonstrate your skills....

Top reviews

Feb 21, 2021

The course served as a good SQL refresher and I love the that I get to run all the exercise and assignment on IBM cloud. That really saved me a lot of stress. Good foundational course overall.

Jan 6, 2022

Most of it really good. I think joins should be covered in the base material and there should be less of an emphasis on sub-queries. The Peer Reviewed final was a little confusing in its questioning.

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3126 - 3150 of 3,274 Reviews for Databases and SQL for Data Science with Python

By Alexis G

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Sep 12, 2024

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

By Moon Y

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Jul 24, 2022

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

By Mate S

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Oct 16, 2023

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

By Shuang.W

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May 2, 2020

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

By Zuriel Y Y R

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Dec 10, 2024

Shallow, evaliations are not challenging enough, robotic explanations.

By Raeesah

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May 16, 2022

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

By Tanner L C

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Nov 15, 2018

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

By Kishore M

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Oct 12, 2025

Many explainations are skipped. Difficult to learn for beginners

By Aaron

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May 21, 2023

Many more problem sets needed for both Jupyter Notebooks and Db2

By Ria “ T

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Jun 2, 2021

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

By Oleg S

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Sep 29, 2020

every material in course not match interface of the programs

By Gennaro R

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Jul 13, 2022

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

By BOGATHI H K R

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Dec 14, 2023

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

By Thomas S

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Jun 13, 2022

Partly labs not working, tasks unclear, could be better

By 黃湙傑

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Jun 14, 2022

IBM DB2 database didn't give me good using experience.

By Ilias K

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Apr 30, 2025

Did not find this any helpful really bad programmed

By Nitika K

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Sep 20, 2020

Not suitable for non computers background students.

By Ray Y

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Jul 15, 2019

WHY FORCE ME USE THE IBM CLOUD? SO COMPLICATED

By abdelkarim b

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Mar 3, 2020

The IBM tools are so unfriendly to new users

By Abhilash L

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Jun 20, 2018

Last few lessons are not clearly explained.

By Lucreziamaria C

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Oct 18, 2021

There are so much errors in notebooks!

By Kamran H

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Mar 19, 2023

I had difficulties wih IBM platform.

By Roderick W

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Apr 4, 2020

The voice-over makes me wanna sleep.

By Meera N

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Dec 30, 2022

DB2 console is so difficult to use

By Long N K H

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Jun 11, 2020

The Lab env sometimes has trouble.