Data Structure Through C Offline Batch
SCALive > Data Structure Through C Offline Batch

Data Structure Through C Offline Batch

2 Reviews
This course is available.
Rs. 7000.00 Rs. 3500.00
Registration Fees : Rs. 300.00
You will learn about various data structures, how to use appropriate data structures for representing, organizing, and manipulating data, and implement it using basic programming.

This Course Includes :

  60+ Hours of On-Demand Video
  Learn from Mobile/PC/Tablet
  HD Quality Training Content
  Industry Level Content
  Play & Pause Videos
  6 Months Validity
  Bonus Content

What you'll Learn?

  •  Ace coding interviews given by some of the top tech companies
  • Learn, implement, and use different Data Structures.
  • Become a better developer by mastering computer science fundamentals
  • Become more confident and prepared for your next coding interview
  • Learn, implement and use different Algorithms



  • Learn the fundamentals of Data Structure through video lectures, quizzes, and practice problems.
  • Using the strategies, lessons, and exercises in this course, you will learn how to land offers from all sorts of companies.
  • Do you find yourself feeling like you get "stuck" every time you get asked a coding question? This course is your answer.
  • This course will provide a pragmatic and hands-on introduction to the Data structure through C .

Who should take this course?

  • Any engineer, developer, programmer, who wants to improve their interviewing skills
  • Anyone interested in improving their whiteboard coding skills
  • Anyone who wants to become a better developer
  • Programming hobbyists.
  • Any self taught programmer who missed out on a computer science degree


Why should you take Data Structure Course ?

  • Data Structure and algorithms help in understanding the nature of the problem at a deeper
  • If you want to crack the interviews and get into the product based companies.
  • In this course, we consider the common data structures that are used in various computational problems.


Instructor :


                     Mr. Sachin Kapoor

  • Mr. Sachin Kapoor is a  senior trainer with an experience of more  than 20 very long years.
  • He has trained more  than 2,00,000 students till date.
  • He actively interacts with approximately 8000 new students every year.
  • Mr. Sachin has  been teaching programming languages since  2000 .
  • Introduction To Stack
  • Where Stack Is Used ?
  • Stack Operations : PUSH , POP, PEEP
  • Implementing Stack In C Language
  • Applications Of Stack.
  • Converting INFIX to POSTFIX and PREFIX
  • Evaluating INFIX
  • Introduction To Queue
  • Linear Queue
  • Drawbacks Of Linear Queue
  • Circular Queue
  • Priority Queue.
  • Doubly Ended Queue
  • Applications Of Queue
  • Introduction To Linked List
  • Static V/s Dynamic Allocation
  • Why We Need A Linked List  ? ( Drawbacks Of Array)
  • Linear Linked List
  • Implementation
  • Adding , Searching , Displaying Nodes Of A Linked List
  • Remove Nodes From A Linked List
  • Introduction To Circular Linked List.
  • Why We Need A Circular Linked List  ?
  • Implementation
  • Adding , Searching , Displaying Nodes Of A Circular Linked List
  • Remove Nodes From A Circular Linked List
  • Various Interview Problems On Circular And Linear Linked List
  • Polynomial Representation Using Linked List
  • Introduction To Doubly Linked List
  • Why We Need A Doubly Linked List  ?
  • Implementation
  • Adding , Searching , Displaying Nodes Of A Doubly Linked List
  • Remove Nodes From A Circular Linked List
  • Linked Implementation Of Stack & Queue
  • Introduction To Tree
  • Why We Need Tree ?
  • Understanding Binary Tree
  • Types Of Binary Tree
  • Different Types Of Binary Tree
  • Different Ways Of Representing Binary Tree In Memory
  • Creating A BST
  • Rotations In An AVL Tree
  • Red-Black Tree
  • Multiway Search Tree
  • B-Tree & B+ Tree
  • Creating And Deleting Nodes In A B-Tree
  • Threaded Binary Tree
  • Different Operations On A Threaded Binary Tree
  • Introduction To Graph
  • What & Why Of Graph
  • Graph Terminologies
  • Graph Representations : Adjacency Matrix & Adjacency List
  • Graph Traversals: BFS & DFS
  • Single Pair  & All Pair Shortest Path
  • Spanning
  • Introduction To  Recursion
  • Why Recursion Is Important ?
  • Recursion V/s Iteration
  • How Recursion Works Internally ?
  • Examples Of Recursion
  • Types Of Recursion
  • When To Use/Avoid Recursion ?
  • Algorithm Runtime Complexity Analysis
  • Why Analysis Is Important  ?
  • Types Of Complexity Analysis
  • How To Calculate Complexity Of An Algorithm ?
  • How To Calculate Complexity Of An Algorithm ?
  • Linear & Binary Search
  • Sorting
  • Types Of Sorting : Inplace , Outplace , Stable & Unstable
  • Bubble Sort, Insertion Sort, Selection Sort
  • Quick Sort, Heap Sort, Merge Sort
  • Why So Many Sorting Techniques Are There ?

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