Overview
SQL Fundamentals Course Overview
Delve into the world of SQL, the cornerstone of Business Intelligence, with our SQL Fundamentals course. Designed for beginners and aspiring data professionals, this course introduces you to the foundational syntax and transformative capabilities of SQL. You’ll learn how to effectively extract and manipulate data from databases, a critical skill for any analyst.
Starting with basic data retrieval and filtering techniques, the course progressively guides you through more complex aspects of SQL, including data transformation functions and combining data from multiple tables. We provide hands-on experience through an accessible Azure Data Studio data warehouse, ensuring you can practice your skills in a real-world environment, regardless of your operating system.
By the end of this course, you’ll possess the fundamental skills necessary to navigate and manipulate database data confidently. You’ll understand best practices and common pitfalls in SQL, equipping you with the knowledge to become a proficient business analyst and a valuable asset in any data-driven role.
SQL Fundamentals Learning Objectives
Upon completing this course, you will be able to:- Retrieve and filter data using basic SQL syntax
- Transform data with the help of numerical, date, and text functions
- Understand essential terminology related to SQL, databases, and data warehouses
- Combine data from multiple tables efficiently for a more advanced analysis
Who should take this course?
This SQL Fundamentals course is ideal for beginners in data analysis, business professionals seeking to understand database interactions, and Excel users venturing into more advanced data management. It’s crafted to provide foundational skills in SQL, setting the stage for anyone looking to deepen their business intelligence and data analysis capabilities. The course lays the groundwork for transforming raw database information into meaningful insights, making it a crucial first step for aspiring data analysts and business intelligence professionals.Software requirements
https://learn.microsoft.com/en-us/azure-data-studio/download-azure-data-studio?tabs=win-install%2Cwin-user-install%2Credhat-install%2Cwindows-uninstall%2Credhat-uninstall
SQL Fundamentals
Led by
Sebastian Taylor
Led by
Pavel Nacev
Level 3
Approx 10h to complete
100% online and self-paced
Get StartedWhat you'll learn
Lesson
Multimedia
Exams
Files
Basic SQL Queries
Chapter Introduction
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Installation and Introduction to Azure Data Studio
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Creating a Connection to a Database
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What is Adventure Works?
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Example SQL Code
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Saving Your Queries in Notepad
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SELECT and FROM
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SELECT Specific Columns
Creating a Column Alias
Using WHERE to Filter Rows
Checking the Impact of a WHERE Filter
Using GROUP BY to Combine Rows
Limiting Results to 1 Invoice Number for Testing
Using GROUP BY to Combine Invoice Numbers
Using HAVING to Filter Grouped Rows
Filtering Grouped Invoices with HAVING
SQL Order of Operations
Using ORDER BY to Sort Query Rows
Recap and Common Errors
Filtering Rows TOP N
Filtering Rows TOP N Percent
Filtering Rows OFFSET FETCH
Filtering Rows DISTINCT
ORDER BY Another Column
Chapter Summary & Student Exercise 1a
Student exercise 1a review
Student Exercise 1b
Student Exercise 1b Review
Student Exercise 1c
Student Exercise 1c Review
Manipulating Values with Functions
Chapter Introduction
Recap of Aggregate Functions
Counting Rows with COUNT( ) Aggregation
How Aggregate Functions Respond to NULL Values
The Importance of Data Types
Numeric Data Types
Numeric Functions
Where is the Boolean Data Type
Date and Time Data Types
Date Parts
Date and Time Functions
Date and Time Functions in Practice
The DATEADD Function
Working with Specific Dates
Server Properties Collation
Text or String Data Types
String Functions
The CONCAT String Function
LEN UPPER LOWER REPLACE String functions
Flexible LEFT and RIGHT Functions
Comparison Operators
Comparison Operators - Dealing with NULL
Logical Operators
Logical Operators - Common Errors
Advanced Logical Operators - IN and BETWEEN
IN and BETWEEN in Practice
Advanced Logical Operators - LIKE
LIKE in Practice
Using IIF Statements to Create a Conditional Column
Using a CASE Statement for Multiple Conditions
Basic SQL Formatting
Using IIF in a WHERE Statement
Replacing NULL Using IIF, ISNULL and COALESCE
Using CAST to Change the Data Type
Practical Examples Using CAST
Using a NATIONAL for UNICODE Best Practice
Chapter Review and Student Exercise 2a
Student Exercise 2a Review
Student Exercise 2b
Student Exercise 2b Review
Working with Multiple Tables
Chapter Introduction
Relationships and ER Diagrams
Purpose of DW Relationships
Internet Sales Schema
Types of JOIN
A Basic INNER JOIN Using Sales and Customers
Returning Only the TOP 100 Customers
Order of Operations Review
INNER JOIN the Currency Table
HAVING or WHERE
When INNER JOIN Doesn't Work
RIGHT JOIN to Retrieve Full Product Catalogue
LEFT JOIN vs RIGHT JOIN
Bridge Tables for Many-to-many Relationships
Creating JOINS Across Bridge Tables
Caution with Duplicate Data
Reading SQL Code
Appending Data with a UNION
Exploring the Reseller Schema
Creating a UNION between Internet and Reseller Sales
Identifying the Source of Each UNION Row
Using ORDER BY with a UNION
Other Types of JOIN
Creating a View
Querying a View
Creating Dynamic Results Using Subqueries
Chapter Summary and Student Exercise 4a
Exercise 4a Review
Student Exercise 4b
Student Exercise 4b Review
Advanced Functions and Queries
Chapter Introduction
Connecting to SQL Server from Power BI
Connecting to SQL from Tableau
Connecting to SQL Server from Excel
Using CUBE to Return Subtotals and Totals
Using ROLLUP to Return Subtotals and Totals
Common Scenario Percent of total
Introducing the Finance Schema
Student Exercise 5a
Student Exercise 5a Review
Student Exercise 5b
Student Exercise 5b Review
Qualified Assessment
This Course is Part of the Following Programs
Why stop here? Expand your skills and show your expertise with the professional certifications, specializations, and CPE credits you’re already on your way to earning.
Business Intelligence & Data Analyst (BIDA®) Certification
- Skills Learned Data visualization, data warehousing and transformation, data modeling and analysis
- Career Prep Business intelligence analyst, data scientist, data visualization specialist
Business Intelligence Analyst Specialization
- Skills learned Data Transformation & Automation, Data Visualization, Coding, Data Modeling
- Career prep Data Analyst, Business Intelligence Specialist, Finance Analyst, Data Scientist
What Our Members Say
So intense!
First time coming across SQL. Perfect intro but you need a lot of time and effort to thoroughly get the concepts. Loved every minute of it. Samuel Mbogo
Very informative
The instructor took his time to explain the various concepts. Ferdinand Santah
Last few contents are not included in the student file package such as subquery
Last few contents are not included in the student file package such as subquery Yi De Chia
It was interesting
I passed my exam once Oluwafunmilola Abiola
Frequently Asked Questions
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