DS Micro Using C

Data structures can implement one or more particular abstract data types (ADT), which are the means of specifying the contract of operations and their complexity.
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Data Structures Micro Using C

Data structures can implement one or more particular abstract data types (ADT), which are the means of specifying the contract of operations and their complexity.

  • 53,972 Students Enrolled
  • Online
  • 05
  • English
 

About this course

In this course, you will be able to learn the concepts of data structures selected for you to complete a project.

Why Learn Data Structure?

Data structures are essential formation to hold the data. In computer science, there are simple to complex structures that can hold data in different formats. For example, from simple array to complex structures such as B+ trees, it is essential to study these structures because in complex computing problems such as search, sort, hashing, etc. many of such structures are used.

In simple words, Data Structures is a way of organizing and storing data. Learning data structures will give us an idea about how to handle data computationally.

Duration:

30 days

Effort:

2-3 Hours A Day

Subject:

Data Structures Micro Using C

Level:

Basic

Practice:

65+

 

What you'll learn

  • You will be working on different ways of handling data with different types of algorithms.
  • At the end of this course, you'll be able to write your algorithms and understand if their running time is good or bad.

Bonus:

  • Every step has real-life and scenario-based example videos for better understanding.
  • Code Challenges for testing your skill.
  • You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).
 

Scope for job

There are a lot of opportunities for data structures in demand, like handling storage devices which are larger and to make processes to run faster. In the future, performance considerations are going to be similar to what we have today. Still, the hardware will be slightly faster, programs will talk to more storage devices, and many programs will have more parallel parts.

Requirements

Basic understanding of Data Structures

 

Data Structures Micro Using C

Introduction

Data structures can implement one or more particular abstract data types (ADT), which are the means of specifying the contract of operations and their complexity.

 

Stage-1

  • Step-1 (At a Glance)
  • Step-2 (Arrays)
  • Step-3 (Linear Search)
  • Step-4 (Binary Search)
  • Step-5 (Bubble Sort)
  • Step-6 (Selection Sort)
  • Step-7 (Insertion Sort)
  • Step-8 (Merge Sort)
  • Step-9 (Merge Sorted Arrays)
  • Step-10 (CC-Exam)
  • Step-11 (MCQ-Exam)

Stage-2

  • Step-1 (At a Glance)
  • Step-2 (SinglyLinked List)
  • Step-3 (DoubleLinked List)
  • Step-4 (CC-Exam)
  • Step-5 (MCQ-Exam)

Stage-3

  • Step-1 (At a Glance)
  • Step-2 (Stack)
  • Step-3 (Infix & Postfix)
  • Step-4 (CC-Exam)
  • Step-5 (MCQ-Exam)

Stage-4

  • Step-1 (At a Glance)
  • Step-2 (Queue)
  • Step-3 (DeQueue)
  • Step-4 (CC-Exam)
  • Step-5 (MCQ-Exam)

Stage-5

  • Step-1 (At a Glance)
  • Step-2 (Trees)
  • Step-3 (ADT)
  • Step-4 (BST)
  • Step-5 (CC-Exam)
  • Step-6 (MCQ-Exam)

Stage-6

  • Step-1 (At a Glance)
  • Step-2 (Algorithm)
  • Step-3 (Traversals)
  • Step-4 (Dijkstra's Algorithm)
  • Step-5 (Kruskal's Algorithm)
  • Step-6 (Line Algorithm)
  • Step-7 (Online Algorithms)
  • Step-8 (Sorting Techniques-1)
  • Step-9 (Sorting Techniques-2)
  • Step-10 (Breadth/Depth First Search)
  • Step-11 (MCQ-Exam)

Level Exam

To bring an improvement in the individual's knowledge because level exams provide regular feedback to the students who acknowledge their shortcomings and work on them.