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Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
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There are 5 modules in this course
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.
You will start with performing basic Create, Read, Update and Delete (CRUD) operations using CREATE, SELECT, INSERT, UPDATE and DELETE statements. You will then learn to filter, order, sort, and aggregate data. You will work with functions, perform sub-selects and nested queries, as well as JOIN data in multiple tables. You will also work with VIEWS, transactions and create stored procedures.
The emphasis in this course is on hands-on, practical learning. As such, you will work with real database systems, use real tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs, you will practice building and running SQL queries. At the end of the course you will apply and demonstrate your skills with a final project.
The SQL skills you learn in this course will be applicable to a variety of RDBMSes such as MySQL, PostgreSQL, IBM Db2, Oracle, SQL Server and others.
No prior knowledge of databases, SQL or programming is required, however some basic data literacy is beneficial.
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.
Hands-on Lab: INSERT, UPDATE, and DELETE•20 minutes
1 plugin•Total 5 minutes
SELECT statement examples•5 minutes
Introduction to Relational Databases and Tables
Module 2•3 hours to complete
Module details
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.
(Optional) Db2 Lab: Create and Load Tables using SQL Scripts•30 minutes
Intermediate SQL
Module 3•4 hours to complete
Module details
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.
(Optional) Db2 Lab: Sub-queries and Nested SELECTs •20 minutes
(Optional) Db2 Lab: Working with Multiple Tables •30 minutes
Working with real-world data sets, Final Project & Exam
Module 4•4 hours to complete
Module details
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 assignments2 app items4 plugins
Show info about module content
2 videos•Total 10 minutes
Working with Real World Datasets•6 minutes
Getting Table and Column Details•5 minutes
2 assignments•Total 90 minutes
Project Evaluation (Quiz)•30 minutes
Final Exam•60 minutes
2 app items•Total 40 minutes
Hands-on Lab: Working with a real world data-set•20 minutes
Hands-on Lab: Final Project•20 minutes
4 plugins•Total 77 minutes
(Optional) LOADing Data•15 minutes
(Optional) Db2 Lab: Working with a Real World Dataset using SQL and IBM Cloud Db2 •45 minutes
Final Project Overview•2 minutes
(Optional) Db2 Lab: Exploratory Data Analysis with SQL•15 minutes
Advanced SQL for Data Engineers
Module 5•7 hours to complete
Module details
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. In this module, you will learn how to build more powerful queries with advanced SQL techniques like views, transactions, stored procedures and joins.
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BB
5·
Reviewed on May 24, 2025
i have completed the whole course but then also i am noy getting any certificate downloading option
A
AI
4·
Reviewed on Feb 13, 2025
THE COURSE WAS GREAT I LEARNED ALOT BUT IT CAN BE IMPROVED THROUGH GOING DEEPER TO EACH AND EVERY BASIC CONCEPT
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SJ
5·
Reviewed on Jul 26, 2024
Super easy to follow for a beginner. I tried three other courses where I just wasn't getting it I got to this one and knocked it out non stop. Thanks!!!
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.