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

4.7

stars

22,596 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 26, 2020

A very useful course with some very interesting datasets/Jupyter notebooks to work through/practice your skills. Offers a good balanced blend between theory and practical/practice. Very good course!

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.

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By Amarpreet S

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Apr 7, 2025

Good

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Apr 5, 2025

good

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Apr 5, 2025

okok

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good

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Mar 30, 2025

nice

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Mar 29, 2025

good

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Mar 27, 2025

good

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Mar 25, 2025

ehrh

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Mar 21, 2025

good

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Mar 21, 2025

GOOD

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Mar 21, 2025

good

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Mar 21, 2025

GOOD

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Mar 20, 2025

good

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Mar 20, 2025

good

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Mar 20, 2025

nice

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Mar 20, 2025

good

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Mar 20, 2025

good

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Mar 20, 2025

good

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Mar 19, 2025

GOOD

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Mar 19, 2025

good

By Gulshan K

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Mar 19, 2025

good

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Mar 19, 2025

Good

By SURAJ T

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Mar 19, 2025

good

By HARVERINDER S

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Mar 19, 2025

nice