Course 55232-A: Writing Analytical Queries for Business Intelligence Course Overview

To ensure that participants can successfully grasp the content and complete the training in the Course 55232-A: Writing Analytical Queries for Business Intelligence, the following prerequisites are recommended:

• Basic understanding of relational databases and database structures (e.g., tables, keys, normalization).
• Familiarity with the fundamental concepts of SQL and the purpose of SQL in managing and querying data.
• Experience with using SQL Server Management Studio (SSMS) or similar database management tools is helpful but not mandatory.
• Basic knowledge of data types and their usage within a database context.
• An elementary understanding of Microsoft Excel, as it is used in the course for connecting to SQL Server and running SELECT queries.

These prerequisites are designed to provide a foundational understanding necessary for the course and are not meant to be exhaustive. Individuals with a keen interest in learning and a problem-solving mindset are encouraged to participate, as the course is structured to help beginners gain proficiency in writing analytical queries for business intelligence.

Target Audience for Course 55232-A: Writing Analytical Queries for Business Intelligence

Course 55232-A: Writing Analytical Queries for Business Intelligence is designed for professionals seeking to enhance their SQL skills for effective data analysis.

Target audience for Course 55232-A includes:

• Data Analysts
• Business Intelligence Professionals
• Database Administrators
• SQL Server Developers
• Data Scientists
• Report Developers
• IT Professionals with a focus on data analysis
• Business Analysts who need to understand data structures and query logic
• Database Consultants
• Data Warehouse Specialists
• Technical Managers overseeing BI operations

Learning Objectives - What you will Learn in this Course 55232-A: Writing Analytical Queries for Business Intelligence?

Course 55232-A: Writing Analytical Queries for Business Intelligence Learning Outcomes Introduction

This course empowers students with the skills to craft TSQL queries for effective business intelligence and data analysis within SQL Server environments.

Learning Objectives and Outcomes

• Understand and apply two primary approaches to SQL programming for analytics.
• Utilize TSQL for sophisticated data retrieval and manipulation in a business intelligence context.
• Navigate and use SQL Server Management Studio effectively with the CarDeal sample database.
• Translate table columns into analytical variables and perform data type conversions and calculations.
• Construct and execute SELECT queries with appropriate use of column aliases and scalar functions.
• Comprehend and implement various JOIN operations, including INNER and OUTER JOINS, to combine data from multiple tables.
• Determine the appropriate level of data aggregation using GROUP BY and refine result sets with the HAVING clause.
• Develop proficiency in writing subqueries, utilizing derived tables, and formulating common table expressions (CTEs).
• Encapsulate data retrieval logic using views, table-valued functions, and stored procedures to optimize query performance and maintainability.
• Connect to SQL Server from client tools like Excel, PowerBI, and RStudio, and export datasets to files using SSMS, bcp utility, and the Import/Export Wizard.