LinkedIn – C#: Applied Data Structures 2024-1

C#: Applied Data Structures Course. This course teaches you how to manage data efficiently and effectively using collection classes and data structures in C#. In this course, Joe Marini explores fundamental topics such as the difference between generic and non-generic collections and choosing the right data structure for different programming problems. You’ll learn about collection classes such as List and LinkedList, as well as more advanced structures such as stacks, queues, dictionaries, ListDictionary, HybridDictionary, OrderedDictionary, StringCollection, and StringBuilder. At the end of each section, practical challenges help you test your knowledge and apply it to real-world projects. This course is designed for developers who want to improve their data management skills in C#.

What you will learn:

• How to maintain data collections in C#
• Difference between generic and non-generic collections
• How to choose the right data structure class for specific programming problems
• Basic operations with List and LinkedList
• Search List content
• Understanding and using stacks and queues
• Working with dictionaries to store and retrieve data by key
• Use specialized data structures such as ListDictionary, HybridDictionary, OrderedDictionary, StringCollection, and StringBuilder
• Optimizing data management in C# by choosing the right data structure
• Solve practice challenges to reinforce understanding of concepts

Who is this course suitable for?

• C# developers who want to learn how to manage data more effectively.
• Programmers looking for a deeper understanding of collection classes and data structures in C#.
• Anyone who wants to improve the efficiency and performance of their C# programs by using appropriate data structures.
• Students and programming enthusiasts who want to learn the basics of data structures in C#.

C#: Applied Data Structures Course Specifications

• Publisher: LinkedIn
• Instructor: Joe Marini
• Education level: Intermediate
• Training duration: 1 hour and 39 minutes

Course topics

Course images

Sample course video

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Download file – 214 MB

File(s) password: www.downloadly.ir

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214 MB