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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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By ABHAY K S

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Mar 19, 2025

good

By Manav K B

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Mar 12, 2025

Good

By Asmit D

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Mar 2, 2025

nice

By OLEKSANDR C

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Mar 1, 2025

ok )

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Nov 12, 2024

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Oct 9, 2024

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Oct 2, 2024

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Sep 25, 2024

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Sep 20, 2024

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Sep 18, 2024

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Sep 12, 2024

nice

By Ahmed E

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Jul 25, 2024

Good

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Feb 19, 2024

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Feb 8, 2024

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Jan 15, 2024

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By Navya R

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Dec 29, 2023

good

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Apr 11, 2023

good

By BISHNUPRIYA M (

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Apr 3, 2022

good

By Sirisha S

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Jul 29, 2021

nice

By Arpan C

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Apr 26, 2021

Good

By Ahmed E

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Jun 7, 2020

Good

By chi z

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Mar 23, 2020

nice

By VIGNESHKUMAR R

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Dec 23, 2019

Good