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

4.7

stars

21,307 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

May 21, 2020

Amazing course for beginners! The entire course is well structured and has good hands-on assignments. SQL is extremely essential for Database management and fun learning so please do try this one out!

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.

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2601 - 2625 of 3,032 Reviews for Databases and SQL for Data Science with Python

By Isaac N

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Dec 3, 2019

Thank's

By Rehan K

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Aug 7, 2019

helpful

By MUKKU B

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Feb 3, 2025

Good👍

By Rodrique D

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Aug 3, 2021

Coool

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Mar 6, 2025

great

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Sep 6, 2023

Great

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Jul 10, 2023

Good!

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Jun 7, 2023

great

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Apr 2, 2020

Good.

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Mar 20, 2025

good

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Mar 19, 2025

good

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Mar 19, 2025

NICE

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Mar 19, 2025

good

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Mar 12, 2025

Good

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Mar 2, 2025

nice

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Mar 1, 2025

ok )

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Feb 15, 2025

nice

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Nov 13, 2024

good

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nice

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nice

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Oct 2, 2024

Good

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Sep 25, 2024

Good

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Sep 20, 2024

Good

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Sep 18, 2024

Good

By Sanskruti G

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Sep 12, 2024

nice