Unlock the power of data analysis with our SQL Queries for Analysts course, designed to equip both seasoned professionals and beginners with essential SQL skills for transforming raw data into actionable insights.
EnrollDesign and execute SQL queries for efficient data retrieval and analysis.
Implement complex queries to combine and analyze data from multiple tables.
Understand and utilize advanced SQL functions for data manipulation and transformation.
Master the use of subqueries for in-depth analytical tasks.
Welcome to the SQL Queries for Analysts course, a comprehensive journey designed to empower you with the expertise in SQL for effective data analysis. As you embark on this educational adventure, you’ll gain a deep understanding of how SQL query writing can transform raw data into actionable insights. This course is meticulously crafted to cater to both experienced professionals and newcomers in the field of data analysis. Regardless of your programming background, you will find the content both accessible and challenging. The curriculum starts with the fundamentals of SQL, using Microsoft SQL as the platform for practical learning. You’ll be guided through a series of progressively complex scenarios, where you’ll learn to construct and refine SQL queries to extract meaningful information from databases. By the conclusion of this course, you will have developed a robust skill set in SQL query writing, equipping you to tackle real-world data analysis challenges with confidence and proficiency. Whether your goal is to enhance your existing database skills or to start a new journey in data analysis, this course will be a pivotal step in your professional development.
Course Overview
Data Manipulation Verbs
Courseware Overview
Datasets Overview
Working with SSMS
Using the SQL Editor
Creating SSMS Script Projects
Tips and Tricks with SSMS
Adding Comments to Queries
Understanding Batches and Scripts
What is SQL
Database Diagrams
Database Terminology Overview
Lab
Solution to the Exercise
The SELECT Statement
Execution Order of SELECT Statements
Ordering Results
Additional SELECT Options
Lab
Answers to Exercises
Data Type Precedence
String Related Data Types
Numeric Data Types
Date and Time Data Types
Converting Between Data Types
How to Find Help on Functions
Understanding Data Type Conversion
Lab
Answers to Exercises
Expressions
Filtering Rows
Comparison Operators
Logical Operators
Lab
Answers to Exercises
NULL vs Blank
= vs IS NULL
ISNULL function
COALESCE
Concatenating NULL Data
Lab
Answers to Exercises
Aggregate Functions
GROUP BY
HAVING
HAVING vs WHERE
Lab
Answers to Exercises
JOINS
INNER JOIN
OUTER JOIN
CROSS JOIN
Joining Three or More Tables
Self-join
Alternate Syntax, Implicit Joins
Set Operations
Working with Multiple Set Operators
Viewing Graphical Execution Plans
Lab
Answers to Exercises
Working with Functions
Mathematical Function Overview
String Function Overview
Date Time Function Overview
Nesting Functions
Lab
Answers to Exercises
Subqueries
Nested vs Correlated Subqueries
Subqueries in the SELECT Clause
Subqueries in the WHERE Clause
EXISTS
Subqueries in FROM Clause
Alternatives to Subqueries
Lab
Answers to Exercises
Final Lab Goals
Final Lab Resources
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Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier
Aaron Steele
Casey Pense
Chris Tsantiris
Javier Martin
Justin Gilley
Kathy Le
Kelson Smith
Oussama Azzam
Pascal Rodmacq
Randall Granier