Can a government agency buy 55232 Writing Analytical Queries for Business Intelligence?

Yes. Purchase orders and government purchase cards are both accepted at checkout, and quotes can be formatted for a solicitation response. Terms are net 30 on invoiced orders.

What happens if I need to cancel 55232 Writing Analytical Queries for Business Intelligence?

Course fees are fully refundable with written notice at least ten business days before the class. Inside that window the fee is forfeited, though one free retake is available within six months of the class date.

55232 Writing Analytical Queries for Business Intelligence

Q: How much does 55232 Writing Analytical Queries for Business Intelligence cost?

$1,895 per seat. That covers courseware and lab access. Exam vouchers are quoted separately. Volume pricing is available for teams, and a private cohort is usually cheaper per seat past about four people.

Q: How long is 55232 Writing Analytical Queries for Business Intelligence?

3 days of instructor-led training, delivered live online. Classes run during business hours in the timezone shown on each date.

Q: When is the next 55232 Writing Analytical Queries for Business Intelligence class?

The next scheduled date is Jan 6-8. There is 1 upcoming date in total, 1 of which is guaranteed to run regardless of enrollment.

Q: Is 55232 Writing Analytical Queries for Business Intelligence delivered online?

Yes. It runs live online with an instructor, not as a recording, so you can ask questions as you go. It can also be delivered privately at your site.

Upcoming dates

All times shown in the class's own timezone. 1 of 1 are guaranteed to run, meaning they go ahead regardless of enrollment.

Dates	Starts	Where	Status	Seat	Book
Jan 6-8	9:00 AM to 5:00 PM EST	Live virtual	GUARANTEED	$1,895

About this class

We have 1 scheduled date of 55232 Writing Analytical Queries for Business Intelligence, starting Jan 6-8. It is guaranteed to run regardless of enrollment. Seats are $1,895 each over 3 days, courseware included. Book online with a card, or send a purchase order and we will invoice on net 30 terms.

How do you transform complex tables into clean, analysis-ready datasets?

This training course teaches you how to write analytical queries using Transact-SQL (T-SQL) for business intelligence (BI) workflows. You’ll learn to manipulate columns, combine tables, aggregate results, and encapsulate logic in reusable views and procedures. With a focus on BI scenarios, the course prepares you to deliver clean, structured datasets to tools like Power BI, Excel, SSRS, and RStudio.

What you'll be able to do

After completing this course, you will be able to build efficient SQL queries tailored for business intelligence and data analysis needs. The training emphasizes reusable logic, data encapsulation, and structured output delivery.

Understand the five types of requirements for BI querying
Combine and reshape data across multiple tables
Define the correct aggregation level with GROUP BY and HAVING
Use CTEs, subqueries, and derived tables for cleaner logic
Create views and functions to streamline data access
Deliver datasets to BI tools like Power BI and Excel

Course outline

Module 1: Introduction to T-SQL for Business Intelligence

SQL programming approaches: transactional vs analytical
The database engine and SSMS
Introduction to SELECT queries
Using the CarDeal sample database
Lab: Intro to T-SQL for BI

Module 2: SELECT Expressions, WHERE, and ORDER BY

Column expressions, data types, and built-in functions
Column/table aliases and conversions
Using WHERE and ORDER BY clauses
Lab: Write filtering and sorting queries

Module 3: JOIN Operators and Combining Tables

Primary/foreign key relationships
CROSS JOIN, INNER JOIN, OUTER JOIN variations
Multi-table joins and nested joins
Combining JOINs with WHERE and ORDER BY
Lab: Write multi-table SELECT queries

Module 4: Aggregating with GROUP BY

Defining aggregation level and granularity
COUNT, SUM, AVG, and other aggregate functions
GROUP BY and HAVING usage
Lab: Write grouped and aggregated queries

Module 5: Subqueries, Derived Tables, and CTEs

Writing correlated and non-correlated subqueries
Using derived tables in FROM clauses
Structuring logic with common table expressions (CTEs)
Lab: Create reusable query logic

Module 6: Encapsulating Data Retrieval Logic

Creating and using views
Table-valued functions and stored procedures
Creating read-access objects for analytical clients
Lab: Build encapsulated SQL logic

Module 7: Getting Your Dataset to the Client

Connecting SQL Server to Excel, Power BI, and RStudio
Exporting with SSMS, bcp utility, and Import/Export Wizard
Best practices for client-ready data delivery
Lab: Export datasets and connect to BI tools

Before you attend

Setting learning of information examination and business knowledge situations. For instance, a comprehension of a business-related business knowledge venture or need. Fundamental information of the Windows working framework and its center usefulness, including document framework route. Essential comprehension of the reason for social database administration frameworks, for example, SQL Server.

Who this is for

This course is intended for information workers and data science professionals who seek to use database reporting and analysis tools such as Microsoft SQL Server Reporting Services, Excel, Power BI, R, SAS and other business intelligence tools, and wish to use TSQL queries to efficiently retrieve data sets from Microsoft SQL Server relational databases for use with these tools.