SQL for Data Analysis – Beginner Training Course
Length
1 days
Price
$899
Cities
Melbourne, Sydney, Brisbane, Adelaide, Canberra, Perth
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Why Choose This Course
SQL for Data Analysis – Beginner is an instructor-led training course designed for professionals who want to develop foundational SQL skills and learn how to retrieve, analyse, and report on business data stored in relational databases. The course provides a practical introduction to Structured Query Language (SQL), helping participants build the confidence to access data, generate reports, and support data-driven decision-making.
As organisations increasingly rely on data to drive operational performance and business insights, SQL has become one of the most valuable skills for analysts, reporting professionals, and business users. This course introduces the core concepts of relational databases and demonstrates how SQL can be used to extract meaningful information from organisational data.
Participants learn the fundamentals of relational databases, including tables, records, columns, primary keys, foreign keys, relationships, and database design concepts. The course explains how data is organised within database systems and how different business datasets are connected to support reporting and analysis.
A major focus of the training is writing SQL queries using SELECT statements. Learners gain practical experience retrieving data, selecting specific columns, sorting records, filtering results, and answering common business questions using structured queries.
The course also covers filtering and conditional logic using WHERE clauses, comparison operators, logical operators, and search conditions. Participants learn how to locate relevant information quickly and create focused result sets that support business reporting requirements.
Joining data from multiple tables is another key area of study. Participants explore INNER JOIN, LEFT JOIN, and other commonly used join techniques that combine related information into a single view for reporting and analysis. These skills are essential for working with real-world business databases.
Aggregation and reporting techniques are introduced through practical exercises. Learners use SQL functions such as COUNT, SUM, AVG, MIN, and MAX alongside GROUP BY and HAVING clauses to summarise information, identify trends, and generate meaningful business reports.
Additional topics include subqueries, built-in SQL functions, data types, NULL value handling, data integrity concepts, and an introduction to secure database access practices. Participants gain hands-on experience using modern database tools and cloud-based environments while working with realistic datasets and business scenarios.
Through instructor-led demonstrations, guided labs, and practical exercises, participants develop the SQL skills needed to support reporting, business intelligence, analytics, and data-driven decision-making initiatives.
This course is ideal for Business Analysts, Data Analysts, Reporting Specialists, Finance Professionals, Operations Staff, Project Managers, Database Users, and professionals who work with business data and reporting. Training is available across Melbourne, Sydney, Brisbane, Adelaide, Perth, and Canberra, as well as through live online delivery throughout Australia. A Certificate of Attendance is included upon completion.
Prerequisites
- There are no formal prerequisites for this course.
Exam
Candidates can achieve thi certification by passing the following exam(s).
DP‑900: Microsoft Azure Data Fundamentals
Learning Resources
- SQL for Data Analysis – Beginner course material included.
Delivery Options
- Instructor-led Classroom Training at our premises
- Live Virtual Online Training attend in real-time from anywhere
- In-House Training at your premises (4+ participants)
Skills Gained
- Understand tables, primary and foreign keys, relationships and normalisation basics
- Write SELECT queries to retrieve columns and rows from one or more tables
- Sort and filter results using ORDER BY and WHERE with comparison and logical operators
- Combine data with INNER, LEFT, RIGHT and FULL joins; use UNION to combine result sets
- Use built‑in functions and GROUP BY to aggregate data; refine results with HAVING
- Apply aliases, DISTINCT, predicates and CASE for cleaner, business‑ready outputs
- Create basic subqueries to support targeted analysis scenarios
- Execute queries in Azure Data Studio and the Azure portal for cloud‑hosted databases
- Follow safe patterns for INSERT, UPDATE, DELETE and MERGE when required
Audience
- Data analysts, BI practitioners, reporting developers, business professionals and experienced Excel users who want to learn SQL for reliable, repeatable data analysis in a professional setting.
Outline
- Introduction to relational databases and SQL in analytics workflows
- Tables, schemas and database objects; working with data types and NULLs
- Keys and relationships: primary keys, foreign keys, one‑to‑many and many‑to‑many
- Normalisation concepts for clean, queryable datasets
- SQL command types and query syntax rules; SELECT and SELECT DISTINCT
- Filtering with WHERE: comparison, logical and arithmetic operators; operator precedence
- Sorting with ORDER BY; paging and de‑duplication patterns
- Column selection, aliases and readable outputs for stakeholders
- Joining tables: INNER, OUTER, CROSS and self joins; joining with date dimensions
- Combining results with UNION; set‑based thinking for analysis
- Aggregation with GROUP BY; COUNT, SUM, AVG, MIN, MAX; HAVING for grouped filters
- Built‑in functions: scalar, ranking and rowset functions for common calculations
- CASE expressions and conditional logic in reports
- Subqueries: scalar and multi‑valued; correlated subqueries for targeted lookups
- Executing queries in Azure Data Studio and the Azure portal
- Basic data modification: INSERT, UPDATE, DELETE and MERGE patterns
- Safe practices for write operations and testing in sandboxes
- Introduction to views for reusable query logic (read‑only analysis scenarios)
- Query troubleshooting: error messages and performance basics for beginners
- Mapping skills to DP‑900 domains: relational, non‑relational and analytics workloads
SQL for Data Analysis – Beginner Course Schedule and Locations
Choose a city to view upcoming dates, prices and delivery formats.
SQL for Data Analysis – Beginner Course Schedules Across Australia
| Type | Duration | Price | Start Date | Action |
|---|---|---|---|---|
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 14 Sep 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 19 Sep 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 01 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 05 Oct 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 17 Oct 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 19 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 02 Nov 2026 | Book Now |
| Type | Duration | Price | Start Date | Action |
|---|---|---|---|---|
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 14 Sep 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 19 Sep 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 01 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 05 Oct 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 17 Oct 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 19 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 02 Nov 2026 | Book Now |
| Type | Duration | Price | Start Date | Action |
|---|---|---|---|---|
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 14 Sep 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 19 Sep 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 01 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 05 Oct 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 17 Oct 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 19 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 02 Nov 2026 | Book Now |
| Type | Duration | Price | Start Date | Action |
|---|---|---|---|---|
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 14 Sep 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 19 Sep 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 01 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 05 Oct 2026 | Book Now |
| Part-Time (Weekends): Saturdays Time: 10:00 am to 5:00 pm | 1 Week | $899 | 17 Oct 2026 | Book Now |
| Part-Time (Weeknights): Mon & Tue Time: 6:00 pm to 9:00 pm | 1 Week | $899 | 19 Oct 2026 | Book Now |
| Full-Time (Weekdays): Mon - Wed Time: 9:30 am to 5:00 pm | 1 Day | $899 | 02 Nov 2026 | Book Now |
Terms & Conditions
The supply of this course is governed by our terms and conditions. Please read them carefully before enrolling, as enrolment is conditional on acceptance of these terms and conditions. Proposed course dates are given, course runs subject to availability and minimum registrations.
Frequently Asked Questions (FAQ's)
What is SQL for Data Analysis – Beginner?
SQL for Data Analysis – Beginner is a practical training course that teaches participants how to query, filter, combine, and analyse data stored in relational databases using SQL.
Who should attend the SQL for Data Analysis – Beginner course?
The course is ideal for Business Analysts, Data Analysts, Reporting Specialists, Finance Professionals, Operations Staff, Project Managers, and professionals who need to work with business data.
Do I need previous SQL experience?
No. This course is designed for beginners and provides step-by-step instruction in core SQL concepts, relational databases, and data analysis techniques.
What skills will I gain from SQL for Data Analysis training?
Participants learn SELECT statements, filtering data, sorting results, joins, aggregations, grouping, subqueries, built-in functions, relational database concepts, and SQL reporting techniques.
Will I learn how to combine data from multiple tables?
Yes. The course covers relationship concepts and SQL joins, enabling participants to combine information from multiple tables and create meaningful business reports.
Why is SQL important for data analysis?
SQL is the standard language used to access and analyse data stored in relational databases. It enables professionals to retrieve information efficiently, generate reports, support business intelligence, and make data-driven decisions.
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