Programmers often concentrate on studying the specifics of programming languages and libraries. However, to write efficient code, you also need to know the right data structures and algorithms that have to be used in different situations. By understanding how to compare algorithms in terms of time and complexity, you’ll be able to implement the right one to resolve everyday programming problems.

In this course, you’ll learn about common algorithms and understand how to estimate their efficiency. You’ll also get to grips with the essential data structures that you can use to perform typical programming tasks. You’ll make steady progress as you learn how to implement data structures and algorithms in the latest C# language available with .NET Core, and you'll review .NET built-in data structures. This will help you to write well-structured and efficient programs. As you approach the concluding sections, you’ll delve into several common programming problems and solutions, which will help you to fix issues with your code and optimize your programming processes.

By the end of this course, you’ll have the skills you need to start writing more efficient code and build further on your C# data and algorithm knowledge.

The code bundle for this course is available at - https://github.com/PacktPublishing/-C-8-Data-Structures-and-Algorithms

Style and Approach
This course will give you a practical understanding of data structures and algorithms that you should use for common programming problems and to determine if your code is efficient or whether there might be a better solution. These concepts are explained practically in this video course with examples, and quizzes will be used to test the knowledge you've learned.

Pick optimal solutions for your daily programming tasks by working with algorithms and data structures
Apply C# built-in the Collections library and use it right out-of-the-box
Work with strings in C# to optimize performance
Understand how to sort and search algorithms
Discover the moving-pointer approach for common linked-list problems.
Use dictionaries and sets, implementation principles, and C# specifics
Employ binary numbers and bit manipulation in C#
Apply advanced data structures such as trees, heaps, and graphs

Get started with algorithms and data structures to understand data structure and programming analysis
Follow visual examples of algorithms and data structures to master arrays/sets and map with trees and graphs
Use the latest version of C# and .NET Core along with Visual Studio Code to explore illustrations and present data structures and algorithms clearly

Only for V.I.P