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

4.7

stars

22,578 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

Apr 26, 2023

Great course easy to follow, very good notes, videos and guidance on how to complete the assignments. This is a great introduction course to begin your knowledge and training to be a Data Scientist.

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!

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2801 - 2825 of 3,276 Reviews for Databases and SQL for Data Science with Python

By Mahendra - E

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Aug 7, 2022

Good one

By Ghanshyam T

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Mar 22, 2022

All good

By RANJIT G

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Mar 25, 2025

Awesome

By Vivan G

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Oct 29, 2024

Helpful

By Philipp J F

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Jul 11, 2023

Not bad

By MOHIT G

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Dec 21, 2022

awesome

By Isaac N

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Dec 3, 2019

Thank's

By Rehan K

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Aug 7, 2019

helpful

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Feb 4, 2025

Good👍

By Rodrique D

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Aug 3, 2021

Coool

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Jun 15, 2025

GREAT

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Apr 4, 2025

good'

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Mar 7, 2025

great

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Sep 6, 2023

Great

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Jul 10, 2023

Good!

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Jun 8, 2023

great

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Apr 2, 2020

Good.

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Jul 6, 2025

good

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Jun 13, 2025

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May 31, 2025

Good

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Apr 14, 2025

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Mar 30, 2025

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Mar 23, 2025

efds

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Mar 20, 2025

good

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Mar 19, 2025

good