Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and manipulating data in databases. A working knowledge of databases and SQL is a must for anyone who wants to start a career in Data Engineering, Data Warehousing, Data Analytics, Data Science or Business Intelligence. The purpose of this course is to help you learn and apply foundational and intermediate knowledge of the SQL language, and become familiar with many relational database (RDBMS) concepts along the way.
SQL: A Practical Introduction for Querying Databases
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SQL: A Practical Introduction for Querying Databases
This course is part of multiple programs.
Instructor: Rav Ahuja
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4.7
(433 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 21 hours
Learn at your own pace
95%
Most learners liked this course
What you'll learn
Analyze data within a database using SQL.
Create a relational database on Cloud and work with tables.
Write SQL statements including SELECT, INSERT, UPDATE, and DELETE.
Build more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins.
Skills you'll gain
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Assessments
14 assignments
Taught in English
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There are 5 modules in this course
In this module, you will be introduced to databases. You will create a database instance on the cloud. You will learn some of the basic SQL statements. You will also write and practice basic SQL hands-on on a live database.
What's included
6 videos1 reading2 assignments3 app items1 plugin
In this module, you will explore the fundamental concepts behind databases, tables, and the relationships between them. You will then create an instance of a database, discover SQL statements that allow you to create and manipulate tables, and then practice them on your own live database.
What's included
5 videos2 readings2 assignments3 app items5 plugins
In this module, you will learn how to use string patterns and ranges to search data and how to sort and group data in result sets. You will also practice composing nested queries and execute select statements to access data from multiple tables.
What's included
7 videos2 readings4 assignments4 app items4 plugins
In this assignment, you will be working with multiple real world datasets for the city of Chicago. You will be asked questions that will help you understand the data just as you would in the real wold. You will be assessed on the correctness of your SQL queries and results.
What's included
2 videos2 readings2 assignments2 app items4 plugins
This module covers some advanced SQL techniques that will be useful for Data Engineers. If you are following the Data Engineering track, you must complete this module. Completion of this module is not required for those completing the Data Science or Data Analyst tracks. In this module, you will learn how to build more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins.
What's included
6 videos3 readings4 assignments1 peer review6 app items6 plugins
Recommended if you're interested in Data Analysis
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