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LinkedIn Learning

Access 2016: Queries

via LinkedIn Learning

Overview

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Learn how to craft better queries—the key to finding raw data and transforming it into something usable—in Access 2016.

Syllabus

Introduction
  • Welcome
  • Using the exercise files
  • Trusting the exercise files
  • Explaining the challenges
1. Introduction to Access Queries
  • The H+ Sport database
  • Understand queries
  • Create a query with the wizard
  • Modify a query with the design interface
2. Creating Simple Select Queries
  • Define query criteria
  • Understand comparison operators
  • Use wildcards in criteria
  • Rename the column headers
  • Explore the property sheet
  • Work with joins
  • Challenge: Create a select query
  • Solution: Create a select query
3. Creating Parameter Queries
  • Understand parameter queries
  • Obtain parameters from forms
  • Use a combo box to select criteria
  • Challenge: Gather employee emails based on department
  • Solution: Gather employee emails based on department
4. Use the Built-In Functions
  • Explore the Expression Builder interface
  • Use mathematical operators
  • Apply functions to text
  • Challenge: Convert US dollars to Canadian dollars
  • Solution: Convert US dollars to Canadian dollars
5. Aggregating Records with a Totals Query
  • Summarize data with aggregate functions
  • Understand the Totals field
  • Use the WHERE clause
6. Working with Dates in Queries
  • Dates as serial numbers
  • Select a range of dates or times
  • Date and time functions
  • Format dates
  • Sort dates chronologically
  • Obtain today's date
  • Calculate elapsed time with DateDiff()
  • Calculate time intervals with DateAdd()
  • Challenge: Expand order details
  • Solution: Expand order details
7. Understanding Program Flow Functions
  • IIf() conditional statement
  • Create an IIf() function
  • Use the Switch() function
  • Challenge: Calculate sales price for a product line
  • Solution: Calculate sales price for a product line
8. Alternative Query Types
  • Find duplicate records
  • Identify unmatched records
  • Create an unmatched records query
  • Make a crosstab query
  • Add information to a crosstab query
  • Create a backup of the database
  • Update data with a query
  • Make table, delete, and append queries
9. Writing Queries with Structured Query Language
  • Explore the basics of SQL
  • Create a union query to join tables
  • Nest SQL code in other queries
10. Useful Query Tricks
  • Pull random records from the database
  • Return records above or below the average
  • Process a column of values with domain functions
  • Challenge: Identify the highest and lowest pricing markup
  • Solution: Identify the highest and lowest pricing markup
Conclusion
  • Next steps

Taught by

Adam Wilbert

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