Back to Databases and SQL for Data Science with Python
Learner Reviews & Feedback for Databases and SQL for Data Science with Python by IBM
20,686 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
BS
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!
SR
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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