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

4.7

stars

22,156 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!

Jun 9, 2025

It's really worth your time and effort, you will learn a lot of things much better than watching any you tube videos ....would totally recommend it as it gives you hands on experience not just theory

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By Clive G M P

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Jul 6, 2025

good

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Jun 13, 2025

good

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Mar 20, 2025

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Mar 19, 2025

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Mar 19, 2025

NICE

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Mar 19, 2025

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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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Nov 5, 2024

nice

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Oct 9, 2024

nice

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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

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Jul 26, 2024

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Feb 19, 2024

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Feb 8, 2024

good