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Master Key Data Structures & Algorithms: Python
Rating: 4.6 out of 5(25 ratings)
326 students

Master Key Data Structures & Algorithms: Python

Sliding Window, DP & Backtracking
Created byMohammed Abdul Baseer
Last updated 11/2025
English

What you'll learn

  • Analyze algorithms for optimal performance, focusing on time and space complexity.
  • Identify common patterns in DSA problems and choose the appropriate technique to solve them.
  • Approach new challenges with confidence, using structured problem-solving strategies.
  • Break down complex problems into smaller subproblems using Dynamic Programming principles.

Explore related topics

Course content

5 sections • 40 lectures • 4h 26m total length

  • What is "Strategy" and Methodology2:24
  • Important aspects of "Two Pointer"2:46
  • Why its so called "Two-Pointer"9:56
  • [Simple] Problem-018:32
  • Two-Pointer strategy, working principle0:54
  • [Scenario] Two-Pointer do not works4:33
  • [Coding] Implementation5:49
  • [Debug] Dry run the logic7:23
  • Two-Pointer Two Sum Quiz
  • [Medium] Problem-02: Extract Unique values9:35
  • [Debug] Extract unique values9:37
  • [Coding] Extract unique values3:45
  • [Medium] Problem-02 Max Water6:46
  • Max Water Brute Force Approach9:17

    Examine the brute-force approach to the max water problem by checking all wall pairs and calculating area as min height times distance, noting worst-case complexity and the two-pointer optimization.

  • Max Water Two Pointer Approach9:07
  • [Coding] Max Water Two Pointer Approach6:17
  • [Debug] Max Water Two Pointer Approach9:45

Requirements

  • Dedication: Dedication to improve problem-solving skills. Not giving up when challenges appear.
  • Consistency: Spending at least 15–30 minutes daily
  • Applying learned concepts to real coding problems on platforms like LeetCode or HackerRank

Description

Crack coding interviews and placements with this focused DSA course!

Learn key algorithms that every student must master, including
Sliding Window,
Backtracking,
Dynamic Programming (DP),
Kadane’s Algorithm, and
Boyer-Moore.

This course is designed to simplify complex concepts, provide step-by-step problem-solving strategies, and help you tackle real coding interview questions with confidence.

Whether you’re a beginner or prepping for product-based company placements, this course will give you the skills and patterns to solve problems efficiently and effectively. Start mastering the algorithms that recruiters love and boost your placement success today!

By the end of the course:
1) You’ll confidently tackle complex DSA problems, implement solutions in Python.
2) Approach interviews with a problem-solving mindset.

Start now, master key DSA algorithms, and turn challenging coding problems into easy wins. Take the first step to crack your placements with confidence!

This course is designed to be simple and easy to understand, even if you are new to DSA.

Every concept is broken down into step-by-step explanations with real coding examples, so you can grasp the logic quickly and apply it immediately.

If your goal is to crack interviews at top tech companies while keeping your preparation concise and effective, this course is your fast-track solution.

Who this course is for:

  • College students (3rd/4th year) majoring in CS / IT: These students are actively preparing for internships and full-time roles, and are looking to build algorithmic problem-solving skills.
  • Recent graduates / freshers aiming for SDE/Engineer roles: They may have some programming background but want to upskill quickly to be competitive in coding rounds and interviews at product-based companies.
  • Applying learned concepts to real coding problems on platforms like LeetCode or HackerRank
  • “few but high-impact algorithms” focus is time-efficient and fits their needs.
  • Self-learners / career-switchers wanting to strengthen algorithmic foundations: Developers from other domains (web, mobile) who realize strong DSA knowledge boosts their problem-solving and coding interviews.

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