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    Data Structures

    Certificate Program in Data Structures

    The Certificate Program in Data Structures at Veda IT is a specialized course designed to provide a solid foundation in data structures, a fundamental component of software development and computer science. This short-term course is ideal for students and professionals who want to strengthen their problem-solving skills and understand how data is organized and manipulated in software applications.

    Who Should Join Data Structures Course?

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      Job Switchers
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      Working Professionals
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      Engineering Graduates
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      University Students
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      Entry-Level Candidates

    Keyskills of Data Structures Developer

    Developers should be skilled in designing efficient algorithms for sorting, searching, and traversing data structures. Knowledge of hash tables, heaps, and trie structures is essential for tackling complex problems. Strong analytical and problem-solving skills are crucial for optimizing time and space complexity. Familiarity with recursion, dynamic programming, and divide-and-conquer strategies enhances the ability to handle diverse scenarios. Practical experience in implementing data structures using programming languages like C++, Java, or Python is also key to mastery.

    Key Features
    • Covers core data structures, algorithms, and complexity analysis.
    • Practical coding exercises and projects to develop problem-solving skills.
    • Learn from experienced data scientists and software engineers.
    • Offline classes with optional online support.
    • Recognized certificate from Veda IT upon successful course completion.

    What you'll learn

    The Certificate Program in Data Structures at Veda IT is a specialized course designed to provide a solid foundation in data structures, a fundamental component of software development and computer science. This short-term course is ideal for students and professionals who want to strengthen their problem-solving skills and understand how data is organized and manipulated in software applications. Covering essential data structures such as arrays, linked lists, stacks, queues, trees, and graphs, this course emphasizes the efficiency and performance of algorithms, preparing students for technical interviews and advanced programming.

    Throughout the course, students will engage in hands-on exercises and coding projects that focus on implementing data structures in real-world scenarios, understanding time and space complexity, and optimizing performance. By the end of this program, graduates will have a deep understanding of data structures, making them well-prepared for roles in software development or further studies in algorithms and system design.

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    Modules Covered

    • Overview of Data Structures and Their Importance
    • Setting Up Development Environment (IDE, Compiler)
    • Basics of Algorithm Complexity (Big O Notation)
    • Arrays and Array Manipulation
    • Memory Management and Static vs. Dynamic Arrays
    • Introduction to Linked Lists (Singly and Doubly Linked Lists)
    • Coding Exercises and Basic Implementations

    • Understanding Stack Data Structure and Its Applications
    • Implementing Stacks (Array-Based and Linked List-Based)
    • Queue Data Structure and Real-World Applications
    • Circular Queues and Priority Queues
    • Introduction to Hashing and Hash Functions
    • Implementing Hash Tables with Collision Resolution
    • Mini Project: Building a Simple Expression Evaluator

    • Introduction to Tree Data Structures
    • Binary Trees and Binary Search Trees (BSTs)
    • Tree Traversal Techniques (Inorder, Preorder, Postorder)
    • Balanced Trees (AVL Trees)
    • Heaps and Priority Queues
    • Applications of Heaps (Heap Sort, Priority Scheduling)
    • Mini Project: Implementing a Priority Queue for Task Scheduling

    • Basics of Graph Theory (Representation, Adjacency Matrix/List)
    • Graph Traversal Algorithms (DFS, BFS)
    • Shortest Path Algorithms (Dijkstra’s Algorithm)
    • Searching Algorithms (Binary Search, Linear Search)
    • Sorting Algorithms (Bubble Sort, Merge Sort, Quick Sort)
    • Time and Space Complexity Analysis of Algorithms

     

    Learning Path

    Basics of Data Structures and Complexity Analysis

    Learn the fundamentals of data structures and analyze time and space complexity.

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    Stacks, Queues, and Hashing

    Master linear data structures like stacks and queues, and explore efficient hashing techniques.

    Trees and Heaps

    Understand hierarchical data structures such as binary trees, binary search trees, and heaps for optimized operations.

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    Graphs and Searching/Sorting Algorithms

    Explore graph algorithms, search techniques (DFS, BFS), and sorting methods like QuickSort and MergeSort.

    Mini Projects for Hands-On Experience

    Apply your learning to small projects, solving real-world problems using data structures and algorithms.

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    Resume Building and Career Guidance

    Build a standout resume and receive career advice to prepare for technical roles in programming.

    Potential Roles

    • Junior Software Developer
    • Data Structure and Algorithm Specialist (Entry-Level)
    • Technical Support Engineer (Data Analysis)
    • Backend Developer (Data Management)
    • Application Support Engineer
    • QA Engineer (Algorithm-Based Testing)
    • Data Analyst (With a focus on Structured Data)
    • Start Date20/05/2025
    • Enrolled100
    • Lectures50
    • Skill LevelBasic
    • LanguageEnglish,Telugu
    • Quizzes10
    • CertificateYes
    • Pass Percentage100%
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    Certificate Program in Data Structures

    Upon successful completion of the Certificate Program in Data Structures, you will receive a certificate from Veda IT, validating your proficiency in implementing and understanding data structures and algorithms.