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

4.7

stars

22,549 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 21, 2021

The course served as a good SQL refresher and I love the that I get to run all the exercise and assignment on IBM cloud. That really saved me a lot of stress. Good foundational course overall.

Jan 6, 2022

Most of it really good. I think joins should be covered in the base material and there should be less of an emphasis on sub-queries. The Peer Reviewed final was a little confusing in its questioning.

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Dec 17, 2019

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Sep 5, 2019

great