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Learning Data Structures And Algorithms

Posted By: ELK1nG
Learning Data Structures And Algorithms

Learning Data Structures And Algorithms
Published 11/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.41 GB | Duration: 6h 8m

Practical Tools for Efficient Coding.

What you'll learn

Understand and implement foundational data structures like arrays, linked lists, trees, and hash tables for effective data organization.

Utilize core algorithms, including sorting, searching, and pathfinding, to optimize data processing and problem-solving in C#.

Apply hands-on coding practices to real-world challenges, enhancing problem-solving skills and algorithmic thinking.

Evaluate and select appropriate data structures and algorithms for specific programming scenarios, ensuring efficient software development.

Requirements

Prior experience with an Integrated Development Environment (IDE) like Visual Studio Code.

Basic understanding of programming concepts such as variables, loops, and conditional statements.

Basic understanding of utilizing methods and creating objects with classes

Description

In the rapidly evolving realm of software development, a strong foundation in data structures and algorithms is imperative for creating efficient and scalable applications. This course, "Data Structures and Algorithms with C#", is crafted to impart these foundational concepts.Beginning with the rudimentary principles, this course gradually navigates the vast landscape of data structures, including arrays, linked lists, trees, and hash tables. Each module is designed to offer a balance of theoretical knowledge, coupled with hands-on coding experience. You'll not only learn the "how" but also the "why" behind each data structure's functionality and application.But what's data without the means to process it? Enter algorithms. Dive deep into the world of algorithms, from the basic sorting and searching techniques to more advanced algorithms for pathfinding and data balancing. Every algorithmic method is presented with real-world scenarios, ensuring learners can contextualize their application and importance.Built for both budding programmers with a basic understanding of C# and seasoned developers looking to cement their knowledge, this course is replete with practical exercises, projects, and quizzes. By its conclusion, learners will be adept at selecting and implementing the most efficient data structures and algorithms for any given task in C#.Embark on this transformative journey and equip yourself with the skills and knowledge to develop optimized, future-proof software solutions in the .NET ecosystem. Whether you're aiming for a new role, a project, or personal development, "Data Structures and Algorithms with C#" is your comprehensive guide to mastering the core of programming. Moreover, you'll gain confidence in tackling complex challenges, fostering innovation, and enhancing your problem-solving prowess in real-world software scenarios.

Overview

Section 1: Introduction

Lecture 1 Introduction to the Series

Lecture 2 Installing Python and Visual Studio Code

Section 2: Data Structures

Lecture 3 Introduction to Data Structures and Algorithm (DSA)

Lecture 4 Unpacking Arrays

Lecture 5 Navigating Linked Lists

Lecture 6 Decoding Hash Tables

Lecture 7 Balancing Stacks and Queues

Lecture 8 Trees Demystified

Lecture 9 Graphs Unveiled

Section 3: Algorithms

Lecture 10 Introduction to Algorithms

Lecture 11 Recursion

Lecture 12 Sorting Algorithms

Lecture 13 Searching Algorithms

Lecture 14 Dynamic Programming

Lecture 15 Greedy Algorithms

Lecture 16 Graph Algorithms

Section 4: Applying DSA in Coding Challenges

Lecture 17 Section Introduction

Lecture 18 Strategies for Tackling Coding Challenges

Lecture 19 Common Patterns in Coding Challenges

Lecture 20 Practice Problems

Lecture 21 Preparing for Technical Interviews

Section 5: Final Thoughts

Lecture 22 Congratulations and Thank You

Aspiring developers and programmers who are looking to deepen their understanding of the integral components of programming: data structures and algorithms.