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Master Algorithmic Problem Solving: Coding Interview Pro Guide

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2:40:23

  • 001. Lesson 1.1 Data Type Capabilities and Input Data for Problems.mp4
    10:24
  • 002. Lesson 1.2 Eliminate Redundant Data and Store Maximum Time for - worker, task.mp4
    06:28
  • 003. Lesson 1.3 Three Different Tasks.mp4
    08:56
  • 004. Lesson 1.4 Minimize Completion Time.mp4
    10:21
  • 005. Lesson 1.5 Logic Puzzle.mp4
    25:31
  • 001. Lesson 2.1 How to Represent State for Different Problems.mp4
    07:05
  • 002. Lesson 2.2 Determine if Rectangular Maze has a Solution Using a Stack.mp4
    09:51
  • 003. Lesson 2.3 Determine Shortest Path in a Rectangular Maze Using a Queue.mp4
    06:34
  • 004. Lesson 2.4 Demonstrate Recursion for Depth-First Search Alternative.mp4
    08:54
  • 006. Lesson 2.6 Eliminating Symmetry to Reduce Unique Boards Even Further.mp4
    09:06
  • 001. Lesson 3.1 Introduction to Dynamic Programming.mp4
    09:34
  • 002. Lesson 3.2 Identifying Overlapping Subproblems.mp4
    09:48
  • 003. Lesson 3.3 Longest Increasing Subsequence Using Bottom-Up Tabulation.mp4
    11:49
  • 004. Lesson 3.4 Longest Increasing Subsequence Using Memoization with Recursion.mp4
    07:32
  • 005. Lesson 3.5 Solve Another DP Problem.mp4
    13:31
  • 006. Lesson 3.6 Course Conclusion.mp4
    00:31
  • More details


    Course Overview

    This comprehensive course equips you with essential algorithmic problem-solving skills to ace coding interviews. Learn efficient techniques for data optimization, recursion, dynamic programming, and maze-solving algorithms.

    What You'll Learn

    • Optimize data storage and eliminate redundancies in problem-solving
    • Implement stack and queue solutions for maze pathfinding
    • Apply dynamic programming techniques to complex problems

    Who This Is For

    • Aspiring software engineers preparing for technical interviews
    • Computer science students mastering algorithms
    • Developers looking to enhance problem-solving skills

    Key Benefits

    • Master time-efficient algorithmic approaches
    • Learn both bottom-up and memoization DP techniques
    • Develop systematic problem-solving methodologies

    Curriculum Highlights

    1. Problem Solving Fundamentals & Data Optimization
    2. Recursion, Stacks, Queues & Maze Algorithms
    3. Dynamic Programming Mastery
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    • language english
    • Training sessions 17
    • duration 2:40:23
    • English subtitles has
    • Release Date 2025/05/21