- Lecture 1: Environment Setup, Data Types, Conditionals, Loops
- Lecture 2: Functions, Recursion, Time Complexity
- Lab: Shapes Printer, Console Animation
This course is suitable for students and professionals who want to strengthen their problem-solving skills and prepare for technical coding interviews. It is ideal for computer science students, software engineering students, and IT graduates, as well as self-taught programmers who have basic programming knowledge. Anyone preparing for internship interviews, job placements, or competitive coding assessments can benefit from this course. A foundational understanding of at least one programming language (such as C++, Java, or Python) is recommended.
Cracking the Coding Interview is a comprehensive, interview-focused course designed to prepare learners for technical coding interviews through structured problem-solving and in-depth concept building. Over seven weeks, the program guides students through core computer science fundamentals including data understanding, algorithm efficiency, and effective problem-solving strategies. The course covers essential topics such as arrays, strings, stacks, queues, STL, recursion, dynamic programming, graphs, greedy algorithms, priority queues, and dynamic data structures like linked lists, hash tables, and binary trees. Learners practice with 150+ LeetCode problems, gaining hands-on experience in solution space exploration and optimization. In addition, the course strengthens interview readiness through object-oriented programming, databases, operating systems (threads and locks), theory of computation, and quantitative and analytical problem solving equipping participants with both the technical depth and confidence required to succeed in real-world technical interviews.
Implementation and STL mapping of basic data structures.
Singly, Doubly, and Circular linked lists with applications.
Binary Trees, BST, AVL, Heaps, and Tries.
Hash tables, collision handling, and real-world use cases.
Recurrence relations and divide & conquer strategies.
Optimization using DP (1D, 2D, advanced patterns).
Greedy strategies and optimization problems.
BFS, DFS, shortest paths, and graph problems.
Processes, scheduling, threads, synchronization.
Memory management and file handling systems.
SQL, indexing, transactions, and database design.
Scalable systems, architecture, and design patterns.
Practice real interview-style coding problems.
Mock interviews focused on system design.
Communication, HR questions, and STAR method.
Full interview simulation and final preparation.
Nourishing the Programmer in you!
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