Data Structures and Algorithms – Master the Fundamentals of Programming

Enroll Now & Start Your Programming Journey with Data Structures and Algorithms (DSA)
Data Structures and Algorithms Course in Pune – Learn DSA with Placement Support at Orange ITech
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Language: English

Certificate: Yes

Duration: 2 Months

Online/Offline Available

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About the Course

The Data Structures and Algorithms (DSA) course at Orange ITech is designed to build a rock-solid foundation in programming logic, problem-solving, and efficient code writing — the essential skills every developer needs to succeed in the tech world.

Whether you’re a student, fresher, or aspiring software developer, this course takes you deep into the world of algorithmic thinking and data organization, helping you understand how programs handle, store, and process data behind the scenes.

Through hands-on training, live projects, and industry-relevant examples, you’ll learn how to structure your code for maximum efficiency and solve real-world problems using the power of Linked Lists, Trees, Graphs, Hash Tables, Queues, Stacks, and much more.

This course doesn’t just teach you theory — it trains you to think like a software engineer. From writing algorithms with optimal time complexity to mastering popular sorting and searching techniques, you’ll be fully prepared to crack coding interviews, perform better in academics, or launch your development career.

What You Will Learn in Data Structures and Algorithms (DSA)Course

Topics Covered:

  • What is a Data Structure and why it matters

  • Understanding data types and their role in memory

  • The mathematical model behind data structures

  • Why we need efficient data organization

  • Real-world examples and use cases

opics Covered:

  • What is an algorithm?

  • Writing optimized and structured algorithms

  • Measuring time and space complexity

  • Big O notation and performance comparison

Topics Covered:

  • What is a list and why it’s used

  • Sequential lists (arrays) – implementation and limitations

  • Static vs dynamic arrays

  • Time complexity of operations in lists

Topics Covered:

  • Concept and structure of linked lists

  • Singly linked list: traversal, insertion, deletion

  • Doubly linked list: bidirectional traversal

  • Circular linked list

  • Comparing performance with arrays

Topics Covered:

  • What is a stack and where is it used

  • Sequential and linked implementation

  • Double stack implementation

  • Use cases in expression evaluation and recursion

Topics Covered:

  • General trees and their types

  • Binary Tree, Binary Search Tree

  • Traversals: Inorder, Preorder, Postorder

  • BFS and DFS

  • Insertion, deletion, and time complexity

  • Implementing BST using arrays

Topics Covered:

  • Arithmetic operators: +, -, *, /, %

  • Relational operators: ==, !=, >, <, etc.

  • Logical operators: &&, ||, !

  • Bitwise operators: &, |, ^, <<, >>

  • Assignment and compound assignment (=, +=, etc.)

  • Increment/Decrement operators: ++, --

  • Conditional (ternary) operator

  • Operator precedence and associativity

  • Implicit and explicit type conversions

Topics Covered:

  • Time and Space Trade-offs

  • Omega Notation

  • Big O Notation

  • Real-world performance insights

Topics Covered:

  • Strictly Binary Tree

  • Symmetric Tree

  • Red Black Tree

  • B Tree and B+ Tree (used in databases)

Topics Covered:

  • Strictly Binary Tree

  • Symmetric Tree

  • Red Black Tree

  • B Tree and B+ Tree (used in databases)

Topics Covered:

  • Strictly Binary Tree

  • Symmetric Tree

  • Red Black Tree

  • B Tree and B+ Tree (used in databases)

Topics Covered:

  • Strictly Binary Tree

  • Symmetric Tree

  • Red Black Tree

  • B Tree and B+ Tree (used in databases)

Topics Covered:

  • Strictly Binary Tree

  • Symmetric Tree

  • Red Black Tree

  • B Tree and B+ Tree (used in databases)

Topics Covered:

  • Strictly Binary Tree

  • Symmetric Tree

  • Red Black Tree

  • B Tree and B+ Tree (used in databases)

Topics Covered:

  • Strictly Binary Tree

  • Symmetric Tree

  • Red Black Tree

  • B Tree and B+ Tree (used in databases)

Quantitative Aptitude
  • Average
    • Percentage
    • Profit and Loss
    • Simple Interest
    • Compound Interest
    • Ratio Proportion
    • Time and Work
    • Time
    • Speed
    • Distance Number
    • System
    • Permutation and Combination
    • Probability
    • Data Interpretation
  • Blood Relation
    • Direction sense
    • Coding and decoding• Clocks and Calendar• Cubes and Dices
    • Seating arrangement
    • Syllogism• Data sufficiency
    • Puzzles
    • Miscellaneous
  • Setting the tone
    • Introduction of Be Employable
    • Competency Matrix
    • Effective Communication
    • Presentation skills
    • Business Communication
    • Attitude + Motivation
    • Emotional Intelligence
    • Leadership
    • Create CV/Resume
    • Group Discussion
    • Mock Group Discussion
    • PI practice
    • Virtual Interview
    • Industry Knowhow and future, Certifications and
    action plan
3 Projects

Apply heaps & priority queues for task scheduling.

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Live project experience – Real-world project training and hands-on learning for career growth

FAQs

The Data Structures and Algorithms course spans 2 months, with over 200 hours of hands-on training, live projects, and practical implementation. Classes are available in both online and offline modes.

This course is ideal for:

  • College students and freshers

  • Beginners in coding

  • Aspiring software engineers

  • Job seekers preparing for technical interviews

  • Developers switching to product-based companies

No prior experience is required. The course starts from the basics and builds up to advanced DSA concepts step by step. All you need is a willingness to learn and problem-solve.

Yes! You will receive a course completion certificate from Orange ITech that adds value to your resume and showcases your technical skills to employers.

Absolutely. The course includes real-world projects and coding exercises so that you can apply each concept practically and gain hands-on experience.

You will learn everything from the basics to advanced topics like:

  • Arrays, Linked Lists, Stacks, Queues

  • Trees (BST, AVL, B-Tree, Threaded BST)

  • Graphs and Graph Algorithms

  • Hash Tables

  • Sorting and Searching Algorithms

  • Time & Space Complexity, and more

Yes, Orange ITech offers 100% placement assistance, including resume building, mock interviews, and job referrals to help you secure your dream role.

Yes! We offer free demo lectures so you can experience the teaching quality and course structure before making a decision.

Online classes are conducted live by expert trainers. You’ll get access to:

  • Interactive sessions

  • Recordings for revision

  • Coding assignments

  • Live Q&A support

Unlike other courses, Orange ITech provides:

  • Trainer with 12+ years of industry experience

  • Live project implementation

  • Placement support & career mentoring

  • A perfect mix of theory, practicals, and interview prep

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Earn a Master Data Structures and Algorithms

Get recognized for your expertise with a Master Certification in Data Structures and Algorithms  This industry-recognized certificate validates your skills and makes you stand out in the job market.