LeetCode Mastery: Top 150 Interview Questions in Python
About This Course
Why Purchase “LeetCode Mastery: Top 150 Interview Questions in Python”?
- Master Core Data Structures and Algorithms
Build a strong foundation in essential data structures – arrays, linked lists, stacks, queues, trees, and graphs. master key algorithms such as sorting, searching, dynamic programming, and backtracking through hands-on practice with LeetCode’s Top 150 questions. - Strengthen Problem-Solving Skills
Learn how to approach coding challenges strategically, break down complex problems into simpler components, and design efficient, real-world solutions using Python. - Prepare for Technical Interviews with Confidence
Get fully equipped for technical interviews at FAANG and top IT companies. Understand commonly asked interview problems, sharpen your communication skills, and learn how to present your logic and solutions effectively. - Optimize Code for Efficiency and Performance
Write clean, optimized, and maintainable code by understanding time and space complexity. Learn how to evaluate, analyze, and refine your code for better performance. - Develop Debugging and Testing Expertise
Gain practical experience in debugging and testing your solutions. Learn to identify, isolate, and resolve coding errors efficiently to ensure reliability and correctness. - Build Confidence for Coding Competitions
Enhance your readiness for hackathons and competitive programming challenges by practicing real-world coding problems and learning fast problem-solving strategies. - Cultivate a Growth Mindset
Adopt a continuous learning approach, embrace challenges, learn from mistakes, and refine your coding and analytical abilities through consistent practice and feedback.
Outcome
By the end of this course, learners will have a solid grasp of data structures, algorithms, and problem-solving techniques, enabling them to approach any coding interview or competition with confidence and clarity.
Learning Objectives
Material Includes
- 150+ LeetCode problems with step-by-step solutions.
- Question + Python solution code provided.
- Topic-wise programming interview quizzes.
- Certificate of Completion.
Requirements
- Basic knowledge of Python (e.g., variables, loops, functions).
- No prior experience with data structures or algorithms required everything is taught step by step.
- Enthusiasm to learn, practice, and master problem-solving for coding interviews.
Target Audience
- Students, graduates, and job seekers preparing for coding and technical interviews.
- Python programmers who want to strengthen their DSA and problem-solving skills.
- Anyone preparing for coding interviews and aspiring to secure roles at FAANG or leading IT companies.
- Programmers who want to improve their logical thinking and algorithmic approach to coding challenges.
Curriculum
Introduction
Introduction1:39
Course Timeline1:15
My Leetcode Coding Strategy00:2:35
Course Materials & Solutions
Array & String
Two Pointers
Sliding Window
Matrix
HashMap
Intervals
Stack
Linked List
Binary Tree General
Binary Tree BFS
Binary Search Tree
Graph General
Graph BFS
Trie
Backtracking
Divide & Conquer
Kadane’s Algorithm
Binary Search
Heap
Bit Manipulation
Math
1D DP
Multidimensional DP
Conclusion
Earn a certificate
Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.
Your Instructors
Arnab Das
I’m a Computer Engineer and polyglot passionate about building technology-driven solutions that create real impact. With hands-on experience across multiple domains, I actively participate in hackathons to tackle real-world challenges and enhance my problem-solving abilities.
My key interests lie in Blockchain and Machine Learning, where I focus on creating scalable, intelligent systems. I’m currently working on developing the world’s first fully automated AI diagnostic system aimed at reducing dependency on doctors and making healthcare more accessible and democratized for all.
I believe in continuous learning, innovation, and empowering others through technology-driven education.