Structured Query Language (SQL) is the industry standard database programming language. It is one of the most in demand skills in occupations that require interaction with data and analyzing data. Through your knowledge of Structured Query Language, you will become more marketable in computer related career fields that pertain to database administration. Learning SQL can also lead to a job that is specific to analyzing data such as a data analyst, a quality assurance analyst, or a business analyst.
 
You’ll first learn about relational database structures, the history and uses of Structured Query Language, and how to use Structured Query Language to create a database, add records to database tables, and how to use SQL queries to extract meaningful data from database tables.  You will quickly progress from creating simple SQL queries that query a single table to querying multiple tables simultaneously. You’ll also learn how to alter data in a database and how to gather significant statistics from data stored in a database. Finally, you'll learn techniques that will enable you to write powerful queries that perform complicated searches and sorts on your data. This certificate will enhance your competitiveness in the field of database administration and data analyst jobs.
 
Requirements:
- Windows 10 or later. Macs are not compatible.
- Necessary rights (local administrative rights) to install programs on the computer.
 
This Certificate must be taken in the following order:
- Introduction
- Intermediate
- Advanced


CEUs/ILUs: 4.8
Length (in hours): 48
Price in USD $595.00
Price in CAD $799.00

Hear from our past students

The instruction was clear and easy to understand. Great course.
- Jessica G
(Advanced SQL)
I liked the layout of the course, and how the videos explained the reading query examples. This was helpful to see the examples visually, which worked well for me.
- Jake
(Advanced SQL)
I liked the layout of the course, and how the videos explained the reading query examples. This was helpful to see the examples visually, which worked well for me.
- Jake
(Advanced SQL)

Course schedule

Introduction to SQL

  • Apr 1 – 26
  • May 6 – 31
  • Jun 3 – 28
  • Jul 1 – 26
  • Aug 5 – 30
  • Sep 3 – 28
  • Oct 7 – Nov 1
  • Nov 4 – 29
  • Dec 2 – 27


Intermediate SQL

  • Apr 1 – 26
  • May 6 – 31
  • Jun 3 – 28
  • Jul 1 – 26
  • Aug 5 – 30
  • Sep 3 – 28
  • Oct 7 – Nov 1
  • Nov 4 – 29
  • Dec 2 – 27


Advanced SQL

  • Apr 1 – 26
  • May 6 – 31
  • Jun 3 – 28
  • Jul 1 – 26
  • Aug 5 – 30
  • Sep 3 – 28
  • Oct 7 – Nov 1
  • Nov 4 – 29
  • Dec 2 – 27