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
After completing this course, students will be able to:
– Identify independent and dependent variables and measurement levels in their own analytical work scenarios.
– Identify variables of interest in relational database tables.
– Choose a data aggregation level and data set design appropriate for the intended analysis and tool.
– Use TSQL SELECT queries to produce ready-to-use data sets for analysis in tools such as PowerBI, SQL Server Reporting Services, Excel, R, SAS, SPSS, and others.
– Create stored procedures, views, and functions to modularize data retrieval code.
No special prerequisites for this course provided. If you are unsure whether you might need to take another course first, please contact us to discuss.
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You will receive a receipt and an enrollment confirmation sent to the email you submitted at purchase. Your enrollment email will have instructions on how to access the class. Any additional questions our team is here to support you. Please call us at 469-721-6100.
If a student is 15 minutes late, they risk losing their seat to a standby student. If a student is 30 minutes late or more, they will need to reschedule. A no-show fee will apply. Retakes are enrolled on a stand-by basis. The student must supply previously issued courseware. Additional fees may apply.
You will receive a ‘Certificate of Completion’ once you complete the class. If you purchased an exam voucher for the class, a team member from TOPTALENT LEARNING will reach out to discuss your readiness for the voucher and make arrangements to send it.