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Placement Tayyari With DSA
Struggling with coding interviews? Its often due to weak DSA knowledge or lack of fluency in a programming language. If your goal is to land your dream job at companies like Google, Amazon, Microsoft, or Meta, mastering both is essential. This course will take you from beginner to expertlearn a programming language from scratch and build strong DSA foundations. Practice with handpicked MAANG-inspired problems and tackle real-world scenarios to sharpen your skills. Lets get you interview-ready
For further queries, reach us via Call/WhatsApp at: +91-9266851324
Course Overview
- Learn a programming language from scratch with a focus on writing clean, real-world-ready code
- 100+ hour self-paced curriculum covering both fundamentals and advanced Data Structures & Algorithms
- 4+ Recorded Project for better concept implementation
- Build a solid DSA foundation through concept-wise learning, visual explanations, and in-depth problem solving
- Practice 100s of handpicked, interview-level coding problems inspired by real MAANG and top tech company questions
- Master key patterns and techniques to confidently tackle any DSA challenge
- Get access to dedicated MAANG-level mock tests, interview simulations, and problem-solving drills
- Sharpen your speed, accuracy, and approach with realistic interview prep designed for top tech roles
Projects:
- N Queens Visualizer
- Shortest Path Finder
- Sudoku Solver
- Tic Tac Toe
Recorded Self-Paced Content:
- Programming Language ( C++, Java and Python) from Basic to Advanced
- Basic DSA and Advanced DSA recorded Content
- Interview Prepration include practice problem content
- Company specific Mock Test
NOTE - All sales are final, no refunds will be provided for offline and live courses. However, if needed, participants may be allowed to shift to a different batch of the same course, subject to availability and course policies (from 1st June).
What you will learn
What you will learn
- Programming Foundations: Master a programming language from the ground up, including industry-standard clean coding practices.
- Data Structures & Algorithms: Deep dive into core data structures and algorithms, focusing on both theory and real-world applications.
- Problem-Solving Techniques: Learn proven patterns and strategies to solve complex problems efficiently, like top candidates in technical interviews.
- Logical Thinking: Strengthen your logical thinking to crack difficult problems with ease.
- MAANG-Level Interview Preparation: Build the mindset and technical edge to excel in MAANG-level coding rounds.
- Real-World Tech Applications: Understand how data structures and algorithms power real-world tech systems.
Course Content
Session 1: Basics & Conditionals
- Data types, variables, input/output
- Operators and expressions
- if-else, nested if-else, switch-case
- Flowcharts and logic building
Session 2: Loops & Pattern Printing
- For, while, do-while loops
- Nested loops
- Pattern-based problems
- Loop-based complexity
Session 3: Functions & Method Concepts
- Function declaration, parameters, return types
- Call by value/reference
- Method scope and recursion intro
Session 4: Time Complexity & Flowcharts
- Big O Notation
- Time complexity of common code patterns
- Analyzing loop + nested structures
- Intro to dry run strategies
Session 5: Introduction to Recursion
- Recursive calls & call stack
- Base and recursive case
- Simple problems: factorial, power
- Recursion tracing
Session 6: 1D Arrays : Operations & Applications
- Declaration and initialization
- Traversal, insertion, deletion
- Max/min, prefix sum, reversal
Session 7: 2D Arrays : Traversal & Matrix Operations
- Row/column/diagonal traversal
- Transpose and rotation
- Spiral matrix and boundary traversal
Session 8: Time and Space Complexity Analysis
- Best/worst/average case
- Space vs time trade-offs
- Practical analysis on loops and recursion
Session 9: String Manipulation & Problem Solving
- String creation and operations
- Palindrome and anagram check
- String reversal, substring extraction
Session 10: Sorting: Bubble, Selection & Insertion
- Dry run examples
- Time complexities
- When and why to use each
Session 11: Fundamentals of Binary Search
- Mid-point logic, base condition
- Binary Search on sorted arrays
Session 12: Applications of Binary Search
- First/last occurrence
- Count of occurrences
- Search in rotated array
Session 13: Recursive Patterns: Fibonacci, Power, Factorial
- Top-down recursion
- Stack depth
- Multiple return calls
Session 14: Recursion with Subsets and Permutations
- Generating subsets
- All permutations
- Bitmasking intro
Session 15: Backtracking Intro
- Decision trees
- Pruning invalid paths
- N-Queens problem
Session 16: Merge Sort: Divide and Conquer
- Splitting arrays
- Merge step
- Merge sort with recursion
Session 17: Quick Sort: Partition and Optimization
- Lomuto/Hoare partition
- Worst vs best case
- In-place sorting
Session 18: OOPs Concepts: Classes & Inheritance
- Class/object basics
- Inheritance types
- Access modifiers
Session 19: OOPs Concepts: Abstraction & Interfaces
- Abstraction vs encapsulation
- Abstract classes and interfaces
- Constructor overloading
Session 20: Linked List: Basics & Implementations
- Singly linked list
- Insert/delete operations
- Traversal techniques
