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

4.7

stars

22,481 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 7, 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 12, 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 Rohith H

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Feb 25, 2024

good

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Jan 9, 2024

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Nov 19, 2023

GOOD

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Feb 25, 2023

mice

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Dec 31, 2022

best

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Dec 30, 2022

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Dec 21, 2022

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Aug 20, 2022

hard

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Jul 7, 2022

nice

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Jun 25, 2022

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Jun 17, 2022

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May 21, 2022

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Apr 26, 2022

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Mar 8, 2022

good

By suraj g

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Oct 1, 2021

Best

By Carlos L M C

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Sep 5, 2021

nice

By ABDUL H

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Aug 29, 2021

good

By Maulidya E

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Jul 13, 2021

GOOD

By Diego F G R

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Apr 13, 2021

good

By Shreya M

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Oct 2, 2020

Good

By Jorge B

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Sep 11, 2020

nice