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

4.7

stars

22,462 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

Aug 25, 2022

I am thankful to coursera for providing database and sql for data science course in such a way that anyone canunderstand the basic fundamental of sql and database. I learn a lot from this course.

Mar 24, 2025

It was a wonderful and joyful learning from the starting to end, i also enjoyed while solving the quries on the hands on. I strongly suggest this course for any beginer who wants to learn SQL.

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2576 - 2600 of 3,258 Reviews for Databases and SQL for Data Science with Python

By Özgün K

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Nov 11, 2023

Instructions for connection to DB2 IBM Cloud is not clear enough.

By Ali N

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Apr 21, 2023

This course is awesome, except one thing that they are using DB2,

By Jan C M

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Oct 25, 2022

Table setup instructions hard to follow in the week 5 assignment

By Pipes M

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May 13, 2019

The materials are good but it is difficult to get help if needed.

By Dalil A

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Dec 10, 2020

Lots of very usefull labs, practicals quite intense, good course

By BHUVNESH K

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May 5, 2025

very nice it will clear basics but video can be in more detail

By Akshay K S

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Nov 18, 2018

good to learn about new function of phythone and data analysis

By Steve H

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Jan 20, 2023

IBM platform overcomplicates the lessons. The content is good

By anderson s

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Jun 30, 2022

Faltou ensinar sobre como criar colunas com chave estrangeira

By tyler m

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Jan 9, 2020

Would have liked to learn more about connecting to other DB's

By Anshul K

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May 30, 2020

Very basic. Good introduction to SQL with Jupyter Notebooks.

By Abrar

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Nov 27, 2019

its interesting course but need to add more practical lesson

By Ravi K

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Dec 7, 2018

Good Refresher Course and I like the Final Hand on Exercise.

By Amrutha S

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Oct 20, 2025

A little more detail can help. Final assignments were good.

By Brent V

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Mar 9, 2025

Great course! I was expecting a bit more python work though

By Ashis K D

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Dec 29, 2023

Good course but the ibmdb2 configuration is a bit complex.

By Stefano P

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Dec 21, 2023

4 stars because sometimes hands-on lab ar not fully clear.

By JHOEL R M V

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May 9, 2022

Good course! Basic and intermediate SQL with basic Python.

By Choy H P

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Apr 24, 2022

Very compact, quick and clear explaination by instructor.

By Gergana T

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Jun 13, 2020

I little more exercises my be useful for beginners like me

By Larbi G

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Oct 1, 2019

a good intoduction to RDBMS and data manipulation with SQL

By Noerlina P

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Dec 16, 2021

The course is amazing, but some hands on lab had errors..

By Igor S

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Nov 23, 2019

Very usefull for beginers. Week 3 and Week 4 are awesome!

By NEIL D

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Oct 8, 2019

Good course. Tutorials for IBM Developer could be better.

By SACHIN V N

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Mar 29, 2019

Good course for beginners and very good practice content.