C Programming with Data Structures & Algorithms

Combo Pack of C & DSA!

Combo Offer!

This is Combo Package for students who want learn C programming along with Data Structures and Alogrithms from basics to advanced and prepare for placements for various service based and product based software companies.

Nowadays all the IT-companies expect students from all streams for basic programming knowledge They expect students from Electronics and Communication or Mechanical background also to have basic knowledge of programming. C programming is the basic programming language that can be learned by all stream students to crack programming rounds and technical interviews of various companies. 

Learning Data Structures and Algorithms along with C language is an added advantage while preparing for various service and product based software companies. Data Strucutures and Algorithms is very important when it comes to programming/coding rounds during campus and off campus placements. Product based companies specifically focus more on knowledge of Data Structures and Algorithms. It is very important when it comes to code implementation. This Data Structures & Algorithms Online Training will help all stream students to learn DS programming right from the basics and help then crack programming rounds for all major companies.

This C Programming Basics Online Training will help all stream students to learn C programming right from the basics and help then crack programming rounds for all major companies.

Contents & Features:

  • C Programming Course duration 25 hours
  • Data Structure and Algorithms 25 hours
  • Concept Clearing Lecutures + Practical Programming Statements covered in both courses.
  • Practice programs on C and Data Strucure are covered
  • Expert Trainers
  • Course Completion Certificate
  • Day Wise Study Plan

Click on Details to get detailed syllabus. Whatsapp us on 8459943139 in case of any doubts.

Detailed Syllabus:

C Programming: 

  • Introduction to Programming and Problem Solving : The meaning of algorithms Flowcharts, Pseudo codes, Writing algorithms and drawing flowcharts for simple exercises, Memory concepts, History of C, C Program development environment, Types of problems, problems solving with computers
  • Introduction to ‘C’ Language : Importance of ‘C’ Language, Sample ‘C’ Program, Structure of ‘C’ Program, Constants, variables and data types. Operators and expressions, Managing input / output operations, Control statements.
  • Functions: Need for user defined functions, elements of User defined functions, defining functions, return values and their types, function calls, function declaration, methods of parameter passing, User defined and library functions.
  • Arrays and Strings:The meaning of an array, one dimensional and two dimensional arrays, declaration and initialization of arrays, reading , writing and manipulation of above types of arrays, multidimensional arrays. Declaring and initialing string variables, reading string from terminal, writing string to screen, arithmetic operations on characters, putting strings together, comparison of two strings, string handling functions.
  • Structures and Pointers: Defining a structure, declaring structure variables, accessing structure members, structure initialization, copying and comparing structure variables, operations on individual members, array of structures, structures and functions, Unions. Understanding pointers, accessing the address space of a variable, declaring and initialization pointer variables, accessing a variable through its pointer, pointer expressions, pointers and arrays, pointer and character strings.
  • File Management in C: Defining and opening a file, closing a file, input/output operations on files, error handling during I/O operations, random access files, command line arguments

Data Structures and Algorithms:


System Life Cycle                                          

  • Algorithm Specification       
    • Introduction
    • Recursive Algorithms
  • Data Abstraction                  
  • Performance Analysis          
  • Space Complexity
  • Time Complexity
  • Asymptotic Notation
  • Comparing Time Complexities
  • Performance Measurement 

ARRAYS AND STRUCTURES                          

  • The Array as an Abstract Data Type
  • The Polynomial Abstract Data Type
  • The Sparse Matrix Abstract Data Type        
  • Transposing a Matrix
  • Matrix Multiplication
  • The Representation of Multidimensional Arrays   
  • String Abstract Data Type    
  • Pattern Matching
  • Structures and Unions         
  • Self-Referential Structures


  • The Stack Abstract Data Type      
  • The Queue Abstract Data Type        
  • Evaluation of Expressions   
  • Evaluating Postfix Expressions
  • Infix to Postfix
  • Multiple Stacks and Queues

LINKED LISTS              

  • Pointers
  • Pointer Can Be Dangerous
  • Using Dynamically Allocated Storage
  • Singly Linked Lists
  • Dynamically Linked Stacks and Queues
  • Polynomials                          
  • Representing Polynomials as Singly Linked Lists
  • Additional List Operations
  • Operations for Singly Linked Lists
  • Operations for Doubly Linked Lists
  • Sparse Matrices


  • Introduction
  • Terminology
  • Representation of Trees
  • Binary Trees
  • The Abstract Data Type
  • Properties of Binary Trees
  • Binary Tree Representations
  • Binary Tree Traversals
  • Additional Binary Tree Operations  
  • Threaded Binary Trees
  • Heaps
  • The Heap Abstract Data Type
  • Priority Queues
  • Insertion into a max heap
  • Deletion from a max heap
  • Binary Search Trees
  • Searching a Binary Search Tree
  •  Inserting an Element into a Binary Search Tree
  • Deleting an Element from a Binary Search Tree
  • Height of a Binary Search Tree


  • The Graph Abstract Data Type         
  • Introduction
  • Definitions
  • Graph Representations
  • Elementary Graph Operations
  • Depth First Search
  • Breadth First Search
  • Connected Components
  • Spanning Trees
  • Minimum Cost Spanning Trees
  • Shortest Paths and Transitive Closure
  • Single Source All Destination
  • All Pairs Shortest Paths

Session – 7 : SORTING

  • Searching and List Verification
  • Sequential Search
  • Binary Search
  • List Verification
  • Insertion Sort                       
  • Quick Sort
  • Optimal Sorting Time
  • Merge Sort
  • Iterative Merge Sort
  • Recursive Merge Sort
  • Heap Sort
  • Radix Sort                             
  • List and Table Sorts
  • External Sorts


  • Symbol Tables
  • Static Hashing
  • Hash Tables
  • Hashing Functions
  • Linear Open Addressing
  • Chaining
  • Theoretical Evaluation of Overflow Techniques
  • Dynamic Hashing
  • Dynamic Hashing Using Directories

SEARCH STRUCTURES                                   

  • Optimal Binary Search Trees
  • AVL Trees
  • Digital Search Trees
  • B-Trees
  • Differential Files

Contact us in case you need more details.

C Programming with Data Structures & Algorithms
₹1798 ₹1099 
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This package includes :


C Programming Course

C Programming Course

Learn C from Scratch!
Placement Preparatory Data Structures & Algorithms Course

Placement Preparatory Data Structures & Algorithms Course

Learn Data Structures & Algorithms from expert trainer & get ready for placement!