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  • Home
  • All Programs
    • CSE/IT Programs
      • Web Development Training
      • Data Science Training
      • Data Structure And Algorithms(DSA) Training
      • Artificial Intelligence (AI) & Machine Learning (ML) TRAINING
      • Cloud Computing Training
      • Cyber Security Training
    • ECE Programs
      • Embedded System Training
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Data Structure And Algorithms(DSA) Training

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  • Data Structure And Algorithms(DSA) Training
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DATA STRUCTURE AND ALGORITHM(DSA) Training

Learn the required theory, obtain the practical skills, and get the right industry exposure to be able to use the scientific methods, processes, and algorithms to extract actionable insights from large chunks of data and become a successful Data Scientist.

Untitled (80 x 60 px) (80 x 60 px)SKILLsFLICK PYTHON COURSEUntitled (80 x 60 px) (80 x 60 px) (1)Untitled (80 x 60 px) (80 x 60 px) (2)Untitled (80 x 60 px) (80 x 60 px) (3)Untitled (80 x 60 px) (80 x 60 px) (4)
Enroll Now !

2-3 Months

30+ Hrs

10k+ Students

30+ Experts

1 On One Interaction

Here's Why You Need to Master DSA

10,000+

JOB OPPORTUNITIES IN INDIA

15LPA-30LPA

MEDIAN SALARY PACKAGE

40%

ANNUAL GROWTH RATE

CURRICULUM

MODULE 1: Introduction to DSA & C++ Refresher
  1. Program Introduction: Importance of DSA in problem-solving and interviews.
  2. Essential C++ Concepts: User Input/Output, Data Types, Conditional Statements, Loops, Functions (pass by value & reference), Arrays & Strings.
  3. Time & Space Complexity: Big-O, Theta, and Omega Notation.
    (Builds programming fundamentals to support DSA problem-solving.)
MODULE 2: Mathematics for Programming
  1. Counting Digits, Reversing Numbers.
  2. Palindrome Checking.
  3. Prime Checking and Optimizations.
  4. Sieve of Eratosthenes for generating primes.
    (Mathematical concepts frequently used in coding challenges.)
MODULE 3: Bit Manipulation
  1. Theory of Bitwise Operators: AND, OR, XOR, NOT.
  2. Problems: Counting Set Bits, Odd/Even Check, Power of 2 Check.
    (Strengthens low-level optimizations and bit-based problem-solving.)
MODULE 4: Sorting & Searching
  1. Sorting: Bubble Sort, Insertion Sort, Selection Sort.
  2. Searching: Linear Search and Binary Search.

  3. Advanced Binary Search Applications:

    • Lower/Upper Bound, Floor/Ceil.

    • First/Last Occurrence.

    • Peak Element, Search in Rotated Array.

    • Problems like Koko Eating Bananas, Aggressive Cows, Book Allocation.

    • Searching in 2D and Row-Column Wise Sorted Matrix.
      (Core algorithms to solve array-based problems effectively.)

MODULE 5: Recursion
  1. Introduction & Applications of Recursion.
  2. Classic Problems: Print 1-N, Sum of 1-N, Factorial, Fibonacci, Power Function.
  3. Advanced Problems: Generate All Subsets, Tower of Hanoi.
  4. Recursive Sorting: Merge Sort, Quick Sort.
    (Enhances divide-and-conquer skills and problem-solving through recursion.)
MODULE 6: Arrays – Hashing, Two Pointers, Sliding Window, Prefix Sum
  1. Introduction to Hashing (Maps & Sets).
  2. Hash-based Problem Solving.
  3. Two Pointers Technique (Pair Sum, Three Sum).
  4. Sliding Window Technique (Max/Min subarray problems).

  5. Prefix Sum and its applications.
    (Optimized problem-solving strategies for arrays.)

MODULE 7: Strings
  1. String Basics & Manipulation.
  2. Pattern Matching.
  3. Palindrome & Anagram Problems.
    (Strengthens problem-solving with text and character data.)

MODULE 8: Linked List
  1. Introduction and Comparison with Arrays.
  2. Singly Linked List: Creation, Traversal, Search, Insert, Delete, Reverse.
  3. Doubly Linked List: Operations & Use Cases.
  4. Circular and Doubly Circular Linked Lists.
    (Builds understanding of pointer-based dynamic data structures.)
MODULE 9: Stack & Queue
  1. Stack: Introduction, Applications (Parentheses Matching, Expression Evaluation), Implementation (Array & Linked List), Stack Problems.
  2. Queue: Queue Basics & Applications, Implementation (Array, Linked List, Deque), Queue & Deque Problems.
    (Teaches LIFO & FIFO data structures with real-world applications.)
MODULE 10: Advanced Data Structures & Algorithms
  1. Heaps: Min/Max Heap, Heap Sort, Priority Queue Applications.
  2. Greedy Algorithms: Theory & Problems (Activity Selection, Fractional Knapsack).
  3. Trees: Binary Tree Traversals (Inorder, Preorder, Postorder), Binary Search Trees (Insertion, Deletion, Problems).
  4. Graphs: Representation (Adjacency List/Matrix), BFS, DFS, Cycle Detection, Topological Sorting, Dijkstra’s Algorithm.
  5. Backtracking & Dynamic Programming: N-Queens, Rat in a Maze, Fibonacci with DP, Knapsack, Subset Sum.
    (Mastering advanced problem-solving techniques for competitive programming and real-world applications.)

Companies Hiring DSA Experts

Our curriculum is designed to give you the skills needed to crack interviews at leading companies like these.

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Affordable and student friendly prices

SKILLSTACK

  • Recorded Lectures
  • Real Time Projects
  • 4+ Hrs of Live Sessions
  • One On One Doubt Sessions
  • CERTIFICATION
  • Mentor Support
  • Placement Guidance
  • Interview Assistance
  • Linkedin Optimization

₹5,000.00Add to cart

SKILLFORGE

  • Recorded Lectures
  • Real Time Projects
  • 10+ Hrs of Live Sessions
  • One On One Doubt Sessions
  • CERTIFICATION
  • Mentor Support
  • Placement Guidance
  • Interview Assistance
  • Linkedin Optimization

₹9,000.00Add to cart

Talk to our experts

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