Introduction to SQL

13 September 2019, Bandwidth Barn, Woodstock, Cape Town

If you want to build a successful career in Data Science, you’ll need to learn the basics of SQL. Writing an SQL query is very often the first step in an analysis. If you can write a solid SQL query then you’re already well on your way.


In this course you’ll learn how to perform CRUD (Create, Read, Update and Delete) operations on a relational database.


Participants will be able to create and populate tables, perform moderately complex queries, update and delete records on a relational database.

Who should attend?

This course is suitable for anybody who needs to work with data in a relational database.

Course Content

Data Query

Using SQL to execute queries against a Relational Database.

  • What is SQL?
  • SQL syntax
    • Code layout
    • Comments
  • Retrieving data using SELECT
    • Grabbing all the fields
    • Selecting specific fields
    • Aliases
  • Selecting specific records
    • Just the first few results
    • WHERE for filtering
    • Logical predicates
    • Matching portions of strings with LIKE
    • Checking for set membership with IN
    • CASE
    • Working with missing (NULL) data
  • Sorting with ORDER BY
  • Aggregation
    • GROUP BY
    • Selected functions for aggregations: MIN, MAX, COUNT, SUM and AVG
    • Filtering after aggregation with HAVING
  • Join
    • Why normalise?

Data Definition

Using SQL to create the structure of a Relational Database.

  • CREATE a database
  • Tables
    • CREATE a table
    • Column types
    • Constraints
      • NOT NULL
      • UNIQUE
      • CHECK
    • Index
    • Primary and Foreign keys
    • Auto increment
    • Default values
  • Cleaning up
    • Dropping a table
    • Dropping a database

Data Manipulation

Using SQL to manipulate data in a Relational Database.

  • INSERT - Putting data into tables
  • UPDATE - Changing existing data
  • DELETE - Removing data


Install DBeaver.

Interactive course material

Our training emphasises practical skills. So, although you’ll be learning concepts and theory, you’ll see how everything is applied in the real world as we work through examples and exercises based on real datasets.

We like questions!

Having a firm understanding of the course content will result in you being able to confidently apply your new skills thereafter. So, if at any point you’re unsure of something, just ask!

Purchase a ticket

Contact us at if you have any questions.