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

4.7

stars

22,466 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

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!

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.

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By Manoj k r Y

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Nov 19, 2023

GOOD

By Aditya P

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Apr 5, 2023

good

By siddhesh m

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Feb 25, 2023

mice

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Jan 7, 2023

good

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Dec 31, 2022

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Dec 21, 2022

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Aug 19, 2022

hard

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Jul 6, 2022

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Jun 25, 2022

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Jun 17, 2022

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May 20, 2022

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By Santosh H

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Apr 25, 2022

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Apr 23, 2022

good

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Apr 1, 2022

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Mar 8, 2022

good

By suraj g

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Sep 30, 2021

Best

By Carlos L M C

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Sep 4, 2021

nice

By ABDUL H

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Aug 28, 2021

good

By Maulidya E

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Jul 12, 2021

GOOD

By Diego F G R

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Apr 12, 2021

good

By Shreya M

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Oct 1, 2020

Good

By Jorge B

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Sep 11, 2020

nice

By Nikhil S

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Jul 18, 2020

Good

By Dalu V

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Jul 14, 2020

good