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

4.7

stars

22,594 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.

Mar 24, 2025

It was a wonderful and joyful learning from the starting to end, i also enjoyed while solving the quries on the hands on. I strongly suggest this course for any beginer who wants to learn SQL.

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By Vaibhav P

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Mar 19, 2025

good

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Mar 18, 2025

vjhk

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Mar 18, 2025

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Mar 18, 2025

nice

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Mar 17, 2025

GOOD

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Mar 17, 2025

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Mar 17, 2025

nice

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Mar 9, 2025

GOOD

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Mar 9, 2025

good

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Mar 6, 2025

good

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Mar 5, 2025

nice

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Mar 2, 2025

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Feb 25, 2025

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Feb 24, 2025

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Feb 20, 2025

good

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Feb 8, 2025

Good