Description

Foundations of Algorithms Masterclass. This course examines the fundamental concepts of algorithms, performance measurement methods, and problem-solving techniques for programmers. This course, exclusively presented by Net Ninja Pro, provides a thorough and comprehensive look at the fascinating world of algorithms. The main goal of this course is to provide a complete roadmap for programmers who want to succeed in job interviews, improve the quality of their software projects, or strengthen their analytical and problem-solving thinking. The training starts with the basics; in this section, concepts such as what algorithms are, their importance in the software world, and how to measure their efficiency and speed of execution are examined. Subsequently, key and more advanced topics such as recursion algorithms, sorting algorithms, searching algorithms, dynamic programming, and other important topics are taught in detail. Each chapter of the course includes practical coding examples and various challenges to challenge the skills of the learners and deepen the learning. By the end of this course, participants will not only understand how to implement and build efficient and optimal algorithms, but also learn how to think like a professional programmer and analyze complex problems. This training provides the audience with all the necessary tools to master data structures and programming logic.

What you will learn

• Basic concepts and importance of algorithms: Understanding the nature of algorithms and why they are important in software development.
• Measuring the performance of algorithms: Learn how to analyze the time and space complexity of algorithms to evaluate their performance.
• Recursion Algorithms: Master the concept of recursion and how to solve complex problems by breaking them down.
• Sorting Algorithms: Familiarity with different methods of sorting data and their implementation.
• Searching Algorithms: Exploring various strategies for fast and efficient data searching.
• Dynamic Programming: Learn optimization techniques to solve problems with recurring subproblems.
• Problem Solving and Practical Coding: Practice with real-world examples and coding challenges to strengthen programming thinking.

This course is suitable for people who:

• Job interview applicants: People who want to prepare for technical and programming interviews with companies.
• Programmers and developers: Those who want to improve the quality, speed, and efficiency of their projects.
• Algorithmic thinking enthusiasts: Anyone who wants to improve their problem-solving and programming logic skills.
• Computer science students: Those seeking a deep and practical understanding of the fundamentals of algorithms.

Course details for the Foundations of Algorithms Masterclass

• Publisher:  Net Ninja
• Instructor:  Net Ninja
• Language: English
• Education level: All levels
• Number of lessons: 65
• Training duration: 5 hours and 34 minutes

Course chapters

• Introduction
• What is an Algorithm?
• Using Pseudocode to Help Solve Problems
• VS Code Setup & Course Files
• Introduction to Time Complexity
• Introduction to Big O Notation
• Constant Time Complexity
• Linear Time Complexity
• Quadratic Time
• CHALLENGE – Time Complexity Quiz
• SOLUTION – Time Complexity Quiz
• Logarithmic Time
• CHALLENGE – Only Positive Numbers
• SOLUTION – Only Positive Numbers
• CHALLENGE – Staircase Problem
• SOLUTION – Staircase Problem
• Arrays & Objects
• Space Complexity
• Introduction to Recursion
• ASIDE – The Call Stack
• Recursion Example
• CHALLENGE – Recursive Fibonacci
• SOLUTION – Recursive Fibonacci
• Time Complexity of Recursive Algorithms
• Introduction to Memoization
• Adding Memorization to a Recursive Algorithm
• CHALLENGE – Adding Memorization to the Staircase Problem
• SOLUTION – Adding Memorization to the Staircase Problem
• Space Complexity with Recursion
• Introduction to Search Algorithms
• Linear Search Theory
• Linear Search Implementation
• Binary Search Theory
• Binary Search Implementation
• CHALLENGE – Recursive Binary Search
• SOLUTION – Recursive Binary Search
• Introduction to Sorting
• Bubble Sort Theory
• Bubble Sort Implementation
• CHALLENGE – Optimizing Bubble Sort
• SOLUTION – Optimizing Bubble Sort
• Selection Sort Theory
• CHALLENGE – Selection Sort Implementation
• SOLUTION – Selection Sort Implementation
• Merge Sort Theory
• Merging Two Arrays Together
• CHALLENGE – Merge Sort Implementation
• SOLUTION – Merge Sort Implementation
• Divide & Conquer
• Dynamic Programming
• Frequency Counting
• Multiple Pointers
• Sliding Window
• Challenges Introduction
• CHALLENGE – Greatest Common Divisor
• SOLUTION – Greatest Common Divisor
• CHALLENGE – Cartesian Product
• SOLUTION – Cartesian Product
• CHALLENGE – Palindromes
• SOLUTION – Palindromes
• CHALLENGE – Longest Substring
• SOLUTION – Longest Substring
• CHALLENGE – Minimum Coin Change Problem
• SOLUTION – Minimum Coin Change Problem

Course images

Sample course video

Download link

Download file – 736 MB

Rapidgator link

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File size

736 MB