55232 Writing Analytical Queries for Business Intelligence

On‑Demand: $595 | Instructor‑Led: $1,895 | Duration: 3 Days

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Start Date End Date CLASS TIMES (EST) DELIVERY/LOCATION Status Price Enroll Now
3/18/2026 3/20/2026
9:00AM - 5:00PM
star GTR

Guaranteed-to-Run

$1,895
7/8/2026 7/10/2026
9:00AM - 5:00PM
star GTR

Guaranteed-to-Run

$1,895
START DATE : 3/18/2026
END DATE : 3/20/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
DELIVERY/LOCATION :
STATUS :
star GTR

Guaranteed-to-Run

PRICE : $1,895
START DATE : 7/8/2026
END DATE : 7/10/2026
CLASS TIMES (EST) : 9:00AM - 5:00PM
DELIVERY/LOCATION :
STATUS :
star GTR

Guaranteed-to-Run

PRICE : $1,895

Course Highlights

LEVEL: 
  • Intermediate
TOPICS & JOB ROLES: 
BRANDS/TECHNOLOGIES: 

55232 Writing Analytical Queries for Business Intelligence Course Outline

This course is about writing TSQL queries for the purpose of database reporting, analysis, and business intelligence.

Who Should Attend this Course?

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.

PREREQUISITES

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.

1 – INTRODUCTION TO TSQL FOR BUSINESS INTELLIGENCE

  • Two Approaches to SQL Programming
  • TSQL Data Retrieval in an Analytics / Business Intelligence Environment
  • The Database Engine
  • SQL Server Management Studio and the CarDeal Sample Database
  • Identifying Variables in Tables
  • SQL is a Declarative Language
  • Introduction to the SELECT Query
  • Lab 1: Introduction to TSQL for Business Intelligence

2 – TURNING TABLE COLUMNS INTO VARIABLES FOR ANALYSIS: SELECT LIST EXPRESSIONS, WHERE, AND ORDER BY

  • Turning Columns into Variables for Analysis
  • Column Expressions, Data Types, and Built-in Functions
  • Column aliases
  • Data type conversions
  • Built-in Scalar Functions
  • Table Aliases
  • The WHERE clause
  • ORDER BY
  • Lab 1: Write queries

3 – COMBINING COLUMNS FROM MULTIPLE TABLES INTO A SINGLE DATASET: THE JOIN OPERATORS

  • Primary Keys, Foreign Keys, and Joins
  • Understanding Joins, Part 1: CROSS JOIN and the Full Cartesian Product
  • Understanding Joins, Part 2: The INNER JOIN
  • Understanding Joins, Part 3: The OUTER JOINS
  • Understanding Joins, Part 4: Joining more than two tables
  • Understanding Joins, Part 5: Combining INNER and OUTER JOINs
  • Combining JOIN Operations with WHERE and ORDER BY
  • Lab 1: Write SELECT queries

4 – CREATING AN APPROPRIATE AGGREGATION LEVEL USING GROUP BY

  • Identifying required aggregation level and granularity
  • Aggregate Functions
  • GROUP BY
  • HAVING
  • Order of operations in SELECT queries
  • Lab 1: Write queries

5 – SUBQUERIES, DERIVED TABLES AND COMMON TABLE EXPRESSIONS

  • Non-correlated and correlated subqueries
  • Derived tables
  • Common table expressions
  • Lab 1: Write queries

6 – ENCAPSULATING DATA RETRIEVAL LOGIC

  • Views
  • Table-valued functions
  • Stored procedures
  • Creating objects for read-access users
  • Creating database accounts for analytical client tools
  • Lab 1: Encapsulating Data Retrieval Logic

7 – GETTING YOUR DATASET TO THE CLIENT

  • Connecting to SQL Server and Submitting Queries from Client Tools
  • Connecting and running SELECT queries from:
  • Excel
  • PowerBI
  • RStudio
  • Exporting datasets to files using
  • Results pane from SSMS
  • The bcp utility
  • The Import/Export Wizard
  • Lab 1: Getting Your Dataset to the Client

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