Algorithmic Problem Solving: Preparing for a Coding Interview

The ultimate guide to coding interviews. Learn algorithmic techniques, big-O notation, and debugging with strategies developed by FAANG engineers. Practice with interview questions from top companies. Get interview-ready in hours.

Beginner

112 Lessons

25h

Certificate of Completion

AI-POWERED

Mock Interview

Explanations

AI-POWERED

Mock Interview

Explanations

This course includes

69 Playgrounds

32 Challenges

11 Quizzes

This course includes

69 Playgrounds

32 Challenges

11 Quizzes

Course Overview

This course provides a thorough exploration of essential algorithmic techniques fundamental in programming. It covers deep understanding of big-O notation, which is a crucial concept for evaluating the efficiency and performance of algorithms, in C++, Java, and Python In this course, you’ll delve into different algorithmic strategies i.e. greedy algorithms, divide-and-conquer, and dynamic programming. Next, you will become proficient in testing and debugging the code. The solutions will be rigorously exami...Show More

What You'll Learn

A complete working knowledge of essential algorithmic techniques to various computational problems

A mastery in writing efficient and reliable code

The ability to implement algorithmic techniques in a programming language of your choice

Hands-on experience in testing and debugging your code

What You'll Learn

A complete working knowledge of essential algorithmic techniques to various computational problems

Course Content

Getting Started

Get familiar with algorithmic programming, interactive exercises, and coding challenges.

Course Overview

Algorithms and Complexity

Unpack the core of algorithms, correctness, and time complexity for efficient problem-solving.

Introduction to Algorithms and Complexity

Correct vs. Incorrect Algorithms

Time Complexity of Algorithms

Runtime Algorithms

Go hands-on with analyzing algorithm efficiency and comparing growth rates for runtime.

The Big-O Notation

Advantages and Disadvantages of the Big-O Notation

Five Common Rules for Analyzing the Runtime

Visualize Common Rules for Runtime Analysis

Frequently Arising Running Times

Quiz: Running Time of Algorithms

Algorithm Design Techniques

Grasp the fundamentals of diverse algorithm design techniques, optimizing problem-solving with various strategies.

Introduction to Algorithm Design Techniques

Algorithm Design: Exhaustive Search Algorithms

Algorithm Design: Branch-and-Bound Algorithms

Algorithm Design: Greedy Algorithms

Algorithm Design: Dynamic Programming Algorithms

Algorithm Design: Recursive Algorithms

Algorithm Design: Divide-and-Conquer Algorithms

Algorithm Design: Randomized Algorithms

Quiz: Algorithm Design Techniques

Programming Challenges

Dig into solving coding challenges using structured approaches, illustrated through specific problems.

Introduction to Programming Challenges

Challenge: Sum of Two Digits

Solution: Sum of Two Digits

Challenge: Maximum Pairwise Product

Naive Solution: Maximum Pairwise Product

Fast Solution: Maximum Pairwise Product

Evaluating Solutions to Maximum Pairwise Product Problem

Solving a Programming Challenge in Four Easy Steps

Quiz: Programming Challenges

Good Programming Practices

7 Lessons

Simplify complex topics in good programming practices for reliable, readable, and efficient code.

Algorithmic Warm Up

18 Lessons

Master the steps to solve Fibonacci-related programming challenges and compute GCD and LCM.

Greedy Algorithms

18 Lessons

Learn how to use greedy algorithms to solve practical optimization problems efficiently.

10.

Dynamic Programming

18 Lessons

Examine the fundamentals and applications of dynamic programming for solving complex problems.

11.

Conclusion

1 Lesson

Find out about completing the course and reflecting on your learning experience.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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Evaluate and debug your code with the click of a button. Get real-time feedback on test cases, including time and space complexity of your solutions.

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AI Code Mentor

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