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

4.7

stars

22,569 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

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.

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.

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Feb 7, 2025

great

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Jan 24, 2025

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Oct 21, 2024

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Sep 27, 2023

super

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Dec 15, 2022

GREAT

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Oct 27, 2022

good

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Oct 24, 2022

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Oct 21, 2022

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Oct 14, 2022

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Jul 29, 2022

nice

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Nov 22, 2021

good

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Mar 14, 2021

great

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Jan 18, 2021

great

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Nov 7, 2020

Great

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Aug 11, 2020

Nice!

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Jun 14, 2020

Great

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Jun 2, 2020

Great

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May 24, 2020

great

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May 8, 2020

happy

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Mar 19, 2020

Great

By Abhishek

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Feb 10, 2020

lucid

By Diego B

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Dec 17, 2019

great