C & DATA STRUCTURE, PYTHON, APTITUDE, GROUP DISCUSSION, AND HR

C & DATA STRUCTURE, PYTHON, APTITUDE, GROUP DISCUSSION, AND HR

Looking for a pre-placement course to accelerate your career growth? Euphoria GenX has the perfect solution for you. Our C & DATA STRUCTURE, PYTHON, APTITUDE, GROUP DISCUSSION, AND HR combo course is designed to make students job-ready.
It provides technical knowledge, logical reasoning skills, and professional communication techniques for successful career development.
Moreover, it builds the confidence required to excel in interviews and placement drives.

Firstly, the C & DATA STRUCTURE, PYTHON, APTITUDE, GROUP DISCUSSION, AND HR combo course strengthens programming knowledge and problem-solving abilities. C and Data Structure enhance coding fundamentals and analytical thinking for real-world scenarios.
Meanwhile, Python modules help you understand object-oriented programming and modern application development easily. Additionally, aptitude sessions improve reasoning, calculation speed, and accuracy for placement exams. Through group discussions, students gain confidence and develop the ability to express ideas clearly. Finally, HR training focuses on interviews, professional etiquette, and presentation skills for corporate readiness.

With our structured approach, students become confident, skilled, and placement ready for the competitive IT industry. Expert mentors provide hands-on sessions, real-time projects, and individual guidance to ensure effective learning. Therefore, enrolling in the C & DATA STRUCTURE, PYTHON, APTITUDE, GROUP DISCUSSION, AND HR combo course guarantees complete skill development. It also enhances your chances of landing high-paying jobs in leading companies.

Furthermore, our program integrates technical expertise with soft skills for overall career growth. Hence, students graduate as industry-ready professionals capable of cracking interviews with ease. In addition, continuous guidance and dedicated placement assistance help learners achieve their dream IT jobs.

Enroll in the C & DATA STRUCTURE, PYTHON, APTITUDE, GROUP DISCUSSION, AND HR combo course today and secure a bright future effortlessly.

C & DATA STRUCTURE, PYTHON, APTITUDE, GROUP DISCUSSION, AND HR Course Contents

Module 1: C

1.1: Introduction of Programming Languages
  • Types of Languages
  • Evolution of 'C' Language
  • Structure of a ‘C’ Program
  • C Programme development life cycle
  • Executing and Debugging a 'C’ Program

1.2: C Tokens
  • Keywords and Identifiers
  • Operators
  • Constants
  • Variables
  • Data Types
  • Precedence of Operators
  • Scope and Lifetime of Variables

1.3: Control Statement and Expressions
  • Decision Making using if statement
  • Types of if ...else block
  • Switch case Block
  • Arithmetic Expressions
  • Evaluation of Expressions
  • GOTO statement

1.4: Looping
  • Concept of Loop
  • For loop
  • While loop
  • Jumping in Loop
  • Break and Continue statement

1.5: Arrays and String
  • Introduction of Array
  • One - D Array
  • Two - D Array
  • Multidimensional Array
  • Dynamic Arrays
  • Implementing String Variables

1.6: Functions
  • Concept of Function
  • User defined Function
  • System Defined Function
  • Types of parameter passing in function

1.7: Strings
  • Strings versus character arrays
  • Initializing Strings
  • Reading String
  • Displaying String
  • The %s format specifier
  • The gets() and puts() functions
  • String handling functions
  • String pointers
  • Two-dimensional character arrays or array of string
  • Array of pointers to strings

1.8: Pointers
  • Need of Pointers
  • Types of Pointers
  • Pointer Expression
  • Arrays of Pointers
  • Pointers and Functions

1.9: Structure and Unions
  • Need of Structure
  • Implementing Structure Variable
  • Arrays of Structure
  • Structure within Structure Introduction of Unions
  • Difference between Structure and Unions

1.10: File Handling using C
  • Opening and Closing File
  • Input / Output operations on File
  • Random Access to Files
  • Command Line Arguments

1.11: Dynamic Memory Allocation
  • Concept of Dynamic Allocation
  • Implementing Malloc and Calloc Functions realloc Functions, free Function
  • Core dump, Memory leak
  • Releasing the free space

1.12: Storage Classes and Pre-processor
  • Introduction of Storage Class
  • Types of Storage Classes
  • Introduction of Pre-processor
  • Macro Substitution
  • File Inclusion

1.13: Assignments

Module 2: DATA STRUCTURE

2.1 Introduction to Data Structures and Algorithms
  • Data Structures and Algorithms
  • Measuring Running time of Algorithms
  • Asymptotic Analysis
  • Big O Notation
  • Finding Big
  • Tight and Loose Upper Bounds
  • Big O analysis of Algorithms
  • Finding Time Complexity
  • Big O analysis of Algorithms: Examples
  • Worst case, Best case and Average Case Analysis
  • Common Complexities
  • Abstract Data Types

2. 2: Linked List
  • Introduction to Linked List in C
  • Traversing and Searching a Single Linked List
  • Finding Pointers in a Single Linked List
  • Insertion in a Single Linked List
  • Deletion in a Single Linked List
  • Reversing a Single Linked List
  • Doubly linked list
  • Insertion in a doubly linked List
  • Deletion from doubly linked list
  • Reversing a doubly linked list
  • Circular linked list
  • Insertion in a circular Linked List
  • Deletion in a circular linked list
  • Concatenation
  • Linked List with Header Node
  • Sorted linked list
  • Merging of sorted Linked lists
  • Sorting a Linked list using Bubble Sort
  • Sorting a Linked list using Merge Sort
  • Finding and Removing a cycle in a Linked list

2.3: Stack and Queue
  • Stack
  • Array Implementation of Stack
  • Linked List Implementation of Stack
  • Queue
  • Array Implementation of Queue
  • Linked List implementation of Queue
  • Queue through Circular Linked List
  • Circular Queue
  • Deque
  • Priority Queue
  • Checking validity of an expression containing nested parentheses
  • Function calls
  • Evaluating Arithmetic Expressions
  • Polish Notations
  • Converting infix expression to postfix expression
  • Evaluation of postfix expression

2.4: Recursion
  • Introduction
  • Flow of control in Recursive functions
  • Winding and unwinding phase
  • Euclids Algorithm
  • Tail recursion
  • Recursion vs. Iteration

2.5: Binary Tree
  • Introduction to Trees
  • Binary Tree
  • Strictly Binary Tree and Extended Binary Tree
  • Full binary tree and Complete Binary Tree
  • Array Representation of Binary trees
  • Linked Representation of Binary Trees
  • Traversal in Binary Tree
  • Preorder Traversal
  • Inorder Traversal
  • Level order traversal
  • Finding height of a Binary tree

2.6: Binary Search Tree
  • Traversal in Binary Search Tree
  • Searching in a Binary Search Tree
  • Nodes with Minimum and Maximum key
  • Insertion in a Binary Search Tree
  • Deletion in a Binary Search Tree

2.7: Heap
  • Heap Representation
  • Insertion in Heap
  • Deletion
  • Building a Heap
  • Heap Applications

2.8: Sorting
  • Introduction to Sorting Algorithms
  • Sort Stability
  • Selection Sort
  • Bubble Sort
  • Insertion Sort
  • Shell Sort
  • Merging two Sorted Arrays
  • Recursive Merge Sort
  • Iterative Merge Sort
  • Quick Sort
  • Binary tree sort
  • Heap Sort
  • Radix Sort

2.9: Searching
  • Linear Search
  • Variations of Linear Search
  • Binary Search

2.10: Hashing
  • Direct Addressing
  • Hashing
  • Collisions
  • Hash Functions
  • Open Addressing : Linear Probing
  • Open Addressing : Quadratic Probing
  • Open Addressing : Double Hashing
  • Deletion in Open Addressed Tables
  • Separate Chaining

2.11: Tree
  • Tree concept & types
  • Tree traversal (Inorder, Preorder and Postorder)
  • Binary Search Tree (BST) implementation

2.12: Graph
  • Introduction, DFS and BFS
  • Graph Cycle
  • Topological Sorting
  • Minimum Spanning Tree
  • Back Tracking
  • Shortest Paths

2.13: Assignments

MODULE 3: PYTHON

3.1: Overview
  • Overview
  • History of Python
  • Python Features
  • Environment Setup
  • Getting Python installing Python
  • Setting up PATH
  • Setting path at Windows
  • Python Environment Variables
  • Running Python

3.2: Basics Syntax
  • Python Programme
  • Python Identifiers
  • Python Keywords
  • Lines and Indentation
  • Python Comments in Python

3.3: Data Types
  • Assigning Values to Variables
  • Multiple Assignment
  • Standard Data Types
  • Python Numbers
  • Python Strings
  • Python Lists
  • Data Type Conversion

3.4: Operators, Decision Making and Loop
  • Different types of Operator
  • If...else Statement
  • elif Statement
  • For Loop
  • Break Statement
  • Continue Statement

3.5: Functions
  • Types of Functions
  • Inbuilt functions
  • Advantages of user define function
  • Different types of user define functions

3.6: FILES I/O
  • Using input function taking data from command line
  • Opening and Closing Files
  • Performing Reading
  • Writing and Appending operation using Python

3.7: Class and Object
  • Overview of Object Oriented Programming
  • Creating Class
  • Built-in Class Attributes
  • Inheritance
  • Method Overriding, Data Hiding

3.8: Exceptions
  • What is Exception?
  • Handling an Exception
  • The except Clause with No Exceptions
  • The try-finally Clause

3.9: CGI Programming
  • What is CGI?
  • Web Browsing
  • CGI Architecture
  • Web Server Support and Configuration
  • First CGI Program
  • HTTP Header
  • CGI Environment Variables
  • GET and POST Methods
  • Passing Information using GET method
  • Passing Drop Down Box Data to CGI Program
  • DATABASE ACCESS, What is pymysql?
  • How do | Install pymysql?
  • Database Connection
  • Creating Database Table
  • INSERT, READ and Update Operation, DELETE Operation, Search Operation
  • Disconnecting Database
  • Cookies in CGI

MODULE 4: APTITUDE

4.1: Quantitative Aptitude
  • Numbers
  • LCM & HCF
  • Work & Wages
  • Pipes & Cisterns
  • Time Speed & Distance
  • Trains Boats & Streams
  • Percentage
  • Ratio, Proportion & Partnership
  • Mixture & Alligation
  • Algebra
  • Average
  • Age
  • Profit & Loss
  • Simple Interest
  • Compound Interest
  • Trigonometry ,Height & Distance
  • Permutation and Combinations
  • Probability
  • Clocks
  • Simplification & Approximation
  • Time & Work
  • Data Interpretation
  • Factors & Factorials

4.2 Reasoning
  • Questions & Statements
  • Verification of the Truth of the Statement
  • Statement & Conclusion
  • Syllogism
  • Statements & Assumptions
  • Decision Making
  • Cause & Effect
  • Venn Diagrams
  • Arrangement Problems
  • Numbers

MODULE 5: HR & GROUP DISCUSSION

5.1 Resume Building & Personal Branding
  • Importance of a well-structured resume
  • Components of an impactful resume
  • Common mistakes to avoid
  • LinkedIn profile optimization

5.2 Communication Skills
  • Verbal & Non-verbal communication
  • Professional email and message writing
  • Active listening and body language
  • Pronunciation and fluency tips

5.3 Presentation Skills
  • Structuring your thoughts for clarity
  • PowerPoint/visual aid basics
  • Handling stage fear
  • Speaking with confidence and clarity

5.4 Behavioral Skills & Etiquette
  • Professional etiquette & workplace behavior
  • Teamwork and collaboration
  • Adaptability and positive attitude
  • Time management & punctuality

5.5 Interview Preparation
  • Types of interviews (HR, technical, panel, telephonic, etc.)
  • Frequently Asked HR Questions & ideal responses
  • STAR method for answering behavioral questions
  • Mock interview sessions with feedback

5.6 Group Discussion (GD) Techniques
  • GD format and expectations
  • Do's and Don'ts in a GD
  • Handling pressure and aggressive participants
  • Practicing with trending topics

5.7 Emotional Intelligence (EI)
  • Understanding self-awareness
  • Empathy in professional interactions
  • Managing stress and workplace conflicts

5.8 Corporate Culture & Ethics
  • Company expectations & workplace dynamics
  • Integrity and professionalism
  • Understanding diversity and inclusion

5.9 Leadership & Initiative
  • Qualities of a good leader
  • Taking responsibility and ownership
  • Initiative vs instruction: thinking ahead

5.10 Career Visioning & Goal Setting
  • Short-term vs long-term goal planning
  • Career growth mindset
  • Staying motivated through setbacks
Download Syllabus Download Now
Price 59999.00 44999.00
Duration 3/6 Months
Enrolled 1500+

Talk to Our Counselor

Colleges

Whom We Work With

TESTIMONIALS

What our students say

© 2025 Euphoria GenX. All Rights Reserved