NA
5.0Reviewed 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.
Databases and SQL for Data Science with Python
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.
Status: Query Languages
Status: Jupyter
BeginnerCourse18 hours
Featured reviews
MM
4.0Reviewed Oct 6, 2023
This course was an Excellent, Interesting, and knowledgeful game for me. I have been excited to lean SQL and Databases and finally IBM and Coursera let my dream come true. Thanks both of them!
AZ
4.0Reviewed Feb 11, 2025
Very intriguing first exposure to SQL for CS students! Loved the integration with Python. It was a bit hard to actually learn SQL from this exclusively, so using outside resources will be helpful.
AT
4.0Reviewed Feb 26, 2020
A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!
SA
5.0Reviewed Apr 22, 2020
The lessons were short and easy to follow, providing all the basics as well as a few more advanced topics, to get student quickly up-to-speed on databases and SQL and their application in D/S realm.
VW
5.0Reviewed Mar 22, 2023
Coursera offers a variety of high-quality courses related to databases and SQL for data science. These courses can be a valuable resource for anyone looking to develop their skills in this area.
IA
5.0Reviewed 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.
AB
4.0Reviewed Nov 1, 2018
Covers the basics, but might be a little difficult for a complete beginner. Manageable, but difficult. Needs more help using SQL within a Jupyter Notebook which should be in the earlier labs.
DE
4.0Reviewed Dec 27, 2019
Course is god enough. However the last assessment is not. Misprints and not clear questions lead to disappointing marks in the end. Also other students marked assessments based on their understanding.
GG
5.0Reviewed Nov 17, 2021
It was great. It helped me understand the theory and practice of SQL topics like expressions, statements, clauses, DML, MML, JOINs and much more. And all the practice material was very helpful.
SG
5.0Reviewed Dec 24, 2019
One of the best course I completed on Coursera. All the learning material is well organised and easy to understand. Also the non-graded sections regarding relational databases are interesting.
JM
5.0Reviewed Feb 27, 2019
Clear, thorough, well-designed. Labs give useful practice, assignments and quizzes test the actual instructional content. This course is by far the best in the IBM Data Science specialization.