LINQ can filter and extract data from collections efficiently. In this course, LINQ Fundamentals in C#, you’ll learn to apply LINQ queries to sets of data to extract meaningful information in an efficient manner. First, you’ll explore how to create LINQ queries, where to learn more about LINQ, and how to select and order data from sets of data. Next, you’ll discover how to filter data, get distinct values, and identify the kind of data contained within collections. Finally, you’ll learn how to work with multiple sets of data, group data into sets, and aggregate data to produce statistics for solving business problems. When you’re finished with this course, you’ll have the skills and knowledge of LINQ needed to apply queries in your everyday applications to produce data efficiently.
Author Name: Paul D. Sheriff
Author Description:
Paul has over thirty years of experience architecting information systems and his expertise is in much demand from Fortune 500 companies. Paul is a Pluralsight author, has published 400+ articles, and authored over 14 books on topics ranging from JavaScript, Angular, C#, SQL Server and many .NET technologies. Paul is a frequent speaker at conferences and user groups.

Table of Contents

• Course Overview
  1min
• Where LINQ Fits into Your Toolbelt
  11mins
• Use LINQ to Select Data within Collections
  20mins
• Use LINQ to Order Data
  8mins
• Use the LINQ Where Clause to Filter Data
  9mins
• Select a Single Piece of Data from a Collection
  20mins
• Retrieve Specific Items Using Take, Skip, Distinct, and Chunk
  16mins
• Determine the Type of Data Contained within Collections
  12mins
• Determine Differences between Two Collections
  28mins
• Concatenate Collections Together Using Union and Concat
  7mins
• Use the Join Clause to Combine Two Collections
  18mins
• Use the Group Clause to Produce Grouped Collections
  14mins
• Aggregate Data in Collections
  22mins
• Use LINQ to Iterate over Collections
  8mins
• Understanding Deferred Execution, Streaming, and Non-streaming Operations
  28mins