Chevron Left
Back to Databases and SQL for Data Science with Python

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

4.7
stars
20,802 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

BS

May 20, 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!

SR

Aug 25, 2022

I am thankful to coursera for providing database and sql for data science course in such a way that anyone can

understand the basic fundamental of sql and database. I learn a lot from this course.

Filter by:

926 - 950 of 2,868 Reviews for Databases and SQL for Data Science with Python

By Alvaro F J L

•

Sep 6, 2020

Amazing opportunity, well teach and engaging experience.

By Chris

•

Jul 17, 2020

The best way to study online. I really love this course.

By Joseph B

•

May 9, 2020

Great course and a fast intro to SQL based on real data.

By Wenjing W

•

Apr 21, 2020

This course is really helpful, and friendly to beginner!

By mahesh C

•

Apr 12, 2020

this is so basic course adding more would be beneficial.

By Aneel K P

•

Jan 27, 2020

This is a good platform to learn SQL.Thanks to COURSERA.

By Maksym C

•

Oct 6, 2019

Good examples, detailed tutorials and real-life datasets

By Ariful H K

•

Aug 27, 2019

Best course for the beginners learning Database and SQL.

By Olli

•

Mar 24, 2019

Great introduction to SQL and relational database theory

By tricia h

•

Aug 4, 2024

Love the web based labs. made it very easy to practice.

By Tan Y Q

•

Oct 26, 2022

great practical exercises to consolidate your learning

By Juan M O L

•

Aug 2, 2022

It fullfill all my expectatives. A really great course.

By Sandeep K

•

Nov 26, 2021

Awesome course. Learnt many new things. Thanks coursera

By Quang P

•

Dec 20, 2020

This course is very good for someone who is new to SQL.

By Oscar P

•

Jul 1, 2020

Excellent course and very well explained and organized.

By Edward M M

•

May 4, 2020

great course, applied knowledge to real world examples.

By Steve M

•

Jul 12, 2019

Best overview of SQL that I have come across so far....

By Y.Veda R

•

Sep 16, 2024

Informative,can understand concepts easily and clearly

By Maryam S K

•

May 20, 2024

It is a well-structured and easy to understand course.

By Anas K

•

Jun 14, 2021

Coursera Help Me to Build & Learn about Data Engineer!

By Uzay P

•

Nov 5, 2020

Good subjects with exellent jupyter notebook exercises

By Jully P P P

•

Nov 2, 2020

Very dynamic curse. Easy to follow, great instructors.

By G v

•

Jun 2, 2020

Detail understanding of Databases from Scratch to end.

By Quynh V

•

May 1, 2020

Very nice course and easy to follow and good examples.

By Alejandro S M

•

Apr 25, 2020

A nice way to review long time forgotten SQL concepts.