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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

SR

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.

NA

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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2201 - 2225 of 3,258 Reviews for Databases and SQL for Data Science with Python

By Aditya P

Apr 5, 2023

good

By siddhesh m

Feb 25, 2023

mice

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Jan 7, 2023

good

By Nwanhele U N

Dec 31, 2022

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Dec 30, 2022

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Dec 21, 2022

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Aug 19, 2022

hard

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Jul 6, 2022

nice

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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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Apr 25, 2022

Good

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Apr 23, 2022

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Mar 8, 2022

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Sep 30, 2021

Best

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Sep 4, 2021

nice

By ABDUL H

Aug 28, 2021

good

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Jul 12, 2021

GOOD

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Apr 12, 2021

good

By Shreya M

Oct 1, 2020

Good

By Jorge B

Sep 11, 2020

nice

By Nikhil S

Jul 18, 2020

Good

By Dalu V

Jul 14, 2020

good

By SREERAM K V S U

Jul 11, 2020

good