Competitive Coding with Data Structures – Level 1

422.88 +GST

Today in an era where the doors of all leading MNCs and companies are open to all. Companies will not visit College Campus for placements, so now the doors to get selected in your dream company is open irrespective of your college/university/city.  Competitive coding methods help to get better placement and career enhancement.

Just sit in their online coding test after completing this course – crack it and get placed – SIMPLE 

this course is encapsulated with following key materials –

  • Warm up on the concepts with topic-wise tutorials.
  • Prepare with comprehensive Topic-wise tutorial Materials
  • Practice 50+ MCQ Questions, Assessments, and Live explanation in Details
  • 1 full-fledged technical mock tests.
  • Highly Qualified and Experience Technical Team to help each trainee.
  • Small Batch Size for focused Learning analyzing the keeping in mind the career path of the student

Prerequisites:

  • C Programming should be cleared.
  • Willingness to improve and compete with the best.
  • Curiosity to learn more and code.

Target Audience:

  • Students who want to get selected in Top-Tier IT Companies like TCS, Infosys , Microsoft , Samsung , Google , Amazon , Facebook , Wipro and all leading MNC’s of the world .
  • Students who wish to compete, crack and win Coding Competitions and Hackathon by improving their logic and programming skills 
  • Students who want to learn different Problem-Solving Approach. 
  • M.Tech/B.Tech/MCA/BCA/Any Graduate or Diploma Holder

Delivery Mode: 

  • Online Live Instructor led learning.

Curriculum

Module 01 – C Revision

  • Introduction to Programming language
  • Data Types and Operators
  • Control Statements and Looping
  • Array, String, Storage Class
  • Function, Command Line Arguments Programming
  • Pointer and Dynamic Memory Allocation
  • Structure, Self-referential structure

 

Module 02 – DATA STRUCTURE

  • Recursion 
    • What is Recursion?
    • Why Recursion?
    • Format of a Recursive Function
    • How Recursion works internally
    • Recursion and Memory (Visualization)
  • Linked List
    • what is linked list
    • Linked list vs Array
    • Components of Linked List
    • How is Linked List stored in Memory
    • Single Linked List (SLL)
  • Stacks 
    • Definition and application.
    • Stack ADT.
    • Array Representation.
    • Linked Representation.
  • Queues
    • What and why of queue
    • Queue ADT
    • Array Representation
    • Linked Representation
  • Binary Search Tree (BST)
    • Why and what of BST
    • Create, search, traverse, insert delete
  • AVL Tree
    • What and why of AVL tree
    • Common operations
    • LL,LR,RR conditions
  • Searching and Sorting
    • What and why of searching
    • Linear Search
    • Binary Search
    • Bubble sort
    • Selection sort
    • Insertion sort
  • Graphs
    • What and why of graphs
    • terminologies and types
    • graph representation in code
    • BFS
    • DFS
    • BFS vs DFS
    • Minimum spanning tree