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

4.7

stars

20,519 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 20, 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!

Aug 25, 2022

I am thankful to coursera for providing database and sql for data science course in such a way that anyone can

understand the basic fundamental of sql and database. I learn a lot from this course.

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Oct 21, 2024

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Sep 10, 2024

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good

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Jul 29, 2022

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Nov 22, 2021

good

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Mar 14, 2021

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great

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Nov 7, 2020

Great

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Aug 11, 2020

Nice!

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Jun 14, 2020

Great

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May 24, 2020

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May 8, 2020

happy

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Mar 19, 2020

Great

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Feb 10, 2020

lucid

By Diego B

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Dec 17, 2019

great

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Sep 5, 2019

great

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May 30, 2019

great