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SQL for Data Analysis - Beginner

Length 1 day
Price NZD 404.35 exc GST

Course overview

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Why study this course

A crucial skill for anyone working with data is the ability to access and analyse that data. Structured Query Language (SQL) enables users to access data from databases, combine data from multiple related tables, and to aggregate, sort, filter or limit the data retrieved as needed.

You will be guided through the basics of relational databases as well as how to run queries from the Azure portal and from Azure Data Studio.

Learn how to work with data stored in the cloud, develop an understanding of relational databases, and SQL. This course will suit those working towards an Azure Data Fundamentals Certification.

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What you’ll learn

After completing this course, students will be able to:

Understand the basics of relational databases
Use SQL to retrieve data from a database
Run queries from the Azure portal and from Azure Data Studio

SQL at Lumify Work

A crucial skill for anyone working with data is the ability to access and analyse that data. Structured Query Language (SQL) enables users to access data from databases; to combine data from multiple related tables; and to aggregate, sort, filter, or limit the data retrieved as needed. The knowledge you gain at SQL training could mean the difference between failing, meeting, and exceeding goals.

View all SQL at Lumify Work courses

Who is the course for?

This course will be of benefit for anyone working towards Microsoft Certification in Azure Data Fundamentals, without prior knowledge of relational databases and SQL. This certification is for anyone interested in working with data stored in the cloud.

Course subjects

Introduction

SQL
Azure SQL Database

What is a Relational Database?

Tables
Primary keys
Foreign keys
Relationships between tables
Type of relationships
Data normalisation

SQL Overview

Type of SQL commands

Working in Azure

Running queries from the Azure portal

Basics of Queries

SELECT
SELECT DISTINCT
SQL clauses
Working in Azure Data Studio
Selecting specific columns
Aliases
SQL syntax rules

Filtering Data with a WHERE Clause

SQL operators
Comparison operators
Logical operators
Arithmetic operators
Operator precedence
WHERE clause

Ordering Query Results

ORDER BY clause

Group Query Results

GROUP BY clause
Aggregation functions
CASE statement

Filtering on Aggregated Values

HAVING clause
Order of evaluation of clauses in a SELECT statement

Access Data from Multiple Tables

JOIN using WHERE clause
Types of Joins
Joining with date tables

Combining multiple SELECT Results

UNION operator

Practice Exercises

Practice query writing

Prerequisites

This course is designed as an introduction to SQL and requires no prior knowledge of relational databases or SQL.

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.