Fundamentals of SQL for Analysts

Name: Fundamentals of SQL for Analysts
Price: 400.00 AUD

Go from zero to hero in SQL with this two-day course, taught by former Google & Salesforce BI analysts in BigQuery.

2 day course

Supporting material

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Taught by experts who focus on creating engaging sessions to enhance learning, this course teaches you to write and understand advanced SQL queries.

During the session, we’ll cover multiple different types of filtering methods and subqueries, which will help you and your team to pull data confidently. You’ll also learn how to leverage SQL in Sheets to automate reporting streams, saving you precious time.

While the course is tailored to business and data analysts, no coding background is required.

This Fundamentals of SQL for Analysts course is available as a private training session that can be delivered via Virtual Classroom or at a location of your choice in Australia.

Course overview

Who should attend:

This course is ideal for business users who need to draw insights from data; data analysts who are responsible for data analysis and visualization within their organizations; and people with a general interest in data science and working with big data.

What you'll learn:

By the end of this course, you will be able to:

Understand how to work with data using SQL
Work with the most important SQL functions to pull and manipulate data
Translate the business questions into data-driven answers using SQL
Build datasets that power business intelligence dashboards
Apply these newly learned skills in a business context

Prerequisites

No prior technical or coding knowledge is required to take this course.

Course agenda

Module 1: Working with Single Tables & Automating Spreadsheets

Pulling and manipulating data from one table
Filtering, aggregating and ordering the rows you need to answer your business question(s)
Applying this knowledge to automate repetitive tasks in Google Sheets

Module 2: Working with Multiple Tables & Subqueries

Combining data that comes from multiple tables
Combining multiple tables by using joins, union and subqueries
Creating new tables to store and update results for future use in dashboards or analysis

Module 3: Business Cases

Practise your skills: apply your knowledge to two different business cases

Book this course

Call our sales team today

+61 (2) 72092674