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Course Details

Classroom Course

Classroom Training On Data Structures by Blazingminds Learning Centre

  • Data Structures Classes for Data Science / DBMS Students
  • Sector-46, Gurgaon
  • Course Fees: INR 4000
  • Duration: 25 Hours
  • Timing: As per student requirement

      Here at bmlc we don't just teach you to get certified, but groom you with latest skills required to match IT industry standards. Our experienced industry professionals will groom you from basic to advanced level of skill set selected for each course.

We aim to empower our students with skills which will help them get a fast pace in their careers and improve their lives                                     Section-A Overview of C, Introduction, Stacks and Queues

Overview of ‘C’: Introduction, Flow of Control, Input-output functions, Arrays and Structures, Functions.

Data structures and Algorithms: an overview: concept of data structure, choice of right data structures, types of data structures, basic terminology Algorithms, how to design and develop an algorithm: stepwise refinement, use of accumulators and counters; algorithm

analysis, complexity of algorithms Big-oh notation.

Arrays: Searching Sorting: Introduction, One-Dimensional Arrays, operations defined: traversal, selection, searching, insertion, deletion, and sorting Searching: linear search, binary search; Sorting: selection sort, bubble sort, insertion sort, merge sort, quick sort, shell sort.

Multidimensional arrays, address calculation of a location in arrays.

Stacks and queues: Stacks, array representation of stack. Applications of stacks. Queues, Circular queues, array representation of Queues, Deques, priority queues, Applications of Queues.

                                                            Section-B Pointers and Linked Lists

Pointers: Pointer variables, Pointer and arrays, an array of pointers, pointers and structures,

Dynamic allocation.

Linked Lists: Concept of a linked list, Circular linked list, doubly linked list, operations on

linked lists. Concepts of header linked lists. Applications of linked lists, linked stacks, linked

Queues.

       Section-C Trees and Graphs Trees: Introduction to trees, binary trees, representation and traversal of trees, operations on binary trees, types of binary trees, threaded binary trees, B-Trees. Application of trees. Graphs: Introduction, terminology, ‘set, linked and matrix’ representation, operations on

graphs, Applications of graphs.

    Section-D Files Handling and Advanced data Structure

Introduction to file handling, Data and Information, File concepts, File organization, files and  streams, working with files. AVL trees, Sets, list representation of sets, applications of sets,

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