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SQL for Data Analysis - Intermediate

  • Length 1 day
  • Price  NZD 495.65 exc GST
Course overview
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Why study this course

Our Intermediate SQL course builds upon the skills learnt in our SQL for Data Analysis - Beginner course.

In this SQL course, you will move beyond using basic SELECT clauses for retrieving data. Learn to work with many different types of functions and expressions that modify the way data is returned in the result set. Students will use built-in T-SQL functions for working with string, date, and numeric data types and will calculate moving averages, running totals, and percentages using window functions.

Learn to use subqueries to perform more complex querying and to use views to simplify querying. Students will also create their own user-defined functions to encapsulate business logic and improve efficiency.

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What you’ll learn

After completing this course, students will be able to:

  • Work with an Azure SQL database

  • Write queries in Transact-SQL (T-SQL)

  • Use T-SQL built-in functions

  • Create user-defined functions

  • Write subqueries and create views


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Microsoft at Lumify Work

As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand. We have a campus in the Philippines, too. We offer the broadest range of instructor-led training courses, from end user to architect level.  We are proud to be the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers in ANZ. 


Who is the course for?

This course will be of benefit for anyone working towards Microsoft Certification in Azure Data Fundamentals and for anyone interested in working with data stored in the cloud.


Course subjects

Introduction

  • SQL and T-SQL

Data Types

  • Conversion between data types

  • CAST, CONVERT and PARSE

Functions in SQL

  • Built-in Functions

  • Aggregate Functions

  • Scalar Functions

  • Ranking Functions

  • User-defined functions

Aggregate Functions and Group By Extensions

  • GROUP BY CUBE, ROLLUP and GROUPING SETS

  • CASE and CASE alternatives

  • COALESCE

  • NULLIFF

String Functions

  • Concatenate, replace and format

Date and Time Functions

  • Get today's date

  • Calculate date/time differences

  • Calculate a new date

  • Extracting date components

  • Creating dates

Logical Functions

  • IIF

  • CHOOSE

  • GREATEST and LEAST

Mathematical Functions

  • ROUND, CEILING, and FLOOR

Writing More Complex Queries

  • Subqueries

  • Local Variables

  • Views

Window (Analytic) Functions

  • OVER clause

  • PARTITION BY

  • ORDER BY

  • ROWS or RANGE

  • Calculate group totals, averages, percentages, and running totals

  • LAG and LEAD

  • FIRST_VALUE, LAST_VALUE

Ranking Functions

  • ROW_NUMBER

  • RANK and DENSE RANK

  • NTILE

User-Defined Functions

  • Create, use, and modify scalar user-defined functions

  • Schemas


Prerequisites

This course builds on the knowledge gained and skills taught in our SQL for Data Analysis - Beginner course. Students must be familiar with writing SQL queries.


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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.


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