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Program Highlights



Eminent Faculties

Engage with experts using interactive, technology-enabled virtual classrooms

Anytime Learning

Gain from recorded lectures, programme handouts, and recorded lab content

Industy Endorsed

Co-Developed Co-Designed Co-Delivered by Industry Experts

Experiential learning

It allows learners to apply concepts learnt in classroom in real work situations





Programme Overview

Diploma in Data Structures is designed to provide students with a deep understanding of data structures and algorithms, which are essential building blocks for computer science and software development. The program covers the theoretical foundations and practical applications of various data structures, helping students develop problem-solving and programming skills for designing efficient algorithms.

This diploma program offers a comprehensive study of data structures, focusing on the efficient organization, storage, and retrieval of data. Students will learn how to design, implement, and analyze data structures such as arrays, linked lists, stacks, queues, trees, and graphs. The course emphasizes the importance of choosing the right data structure for solving specific computational problems and optimizing performance in software development.

Two Semesters spread over One Year





Batch-Size of 20 learners per branch





Skills and techniques to overcome problems related to new technologies across Globe





Prepares Learners to be suitable for various senior roles of IT Sector





Certificate Awarded from UGC recognised Universities





Virtual Labs

Qualification:

10+2 or equivalent with having minimum 45% marks or its equivalent

Minimum one year of work experience.

Specialization: -Data Sciences



Current Batch Companies





Programme Structure


By enrolling in this Diploma in Data Sciences program, students will:

  • Understand the fundamental concepts of data structures and algorithms.
  • Learn how to design and implement common data structures like arrays, stacks, queues, linked lists, trees, and graphs.
  • Master the use of abstract data types (ADTs) in solving computational problems.
  • Gain knowledge of algorithm design techniques, including searching, sorting, and recursion.
  • Analyze the time and space complexity of algorithms using Big O notation.
  • Learn how to choose the appropriate data structure for different applications.
  • Develop problem-solving skills by implementing data structures in programming languages such as C++, Java, or Python.
  • Introduction to Data Structures and Algorithms
  • Arrays and Linked Lists
  • Stacks and Queues
  • Trees and Binary Search Trees (BST)
  • Hashing and Hash Tables
  • Graphs and Graph Algorithms
  • Sorting and Searching Algorithms
  • Advanced Data Structures
  • Algorithm Analysis and Complexity

Candidates of the Diploma in Data Structure program can explore a wide range of career opportunities, such as:

  • Software Developer
  • Systems Analyst
  • Data Engineer
  • Algorithm Developer
  • Backend Developer
  • Database Administrator


LEARNING PEDAGOGY



Convenient learning

Live & Recorded Lectures

Cutting Edge Tutorials.

Continuos Assessment


E-Tutoring

Multimedia Resources

Lectures through LMS


Online Assessment

E-Examinations

Peer Assessment

Insights from industry experts


Online Mentoring

Counseling through Experts

Resume Buidling

Networking with larger community of professionals

eDIGI Advantages

Job Fairs & Networking Events

eDIGI organizes regular events in key cities every few months for Working Professionals to explore current and upcoimg opportunities for growth

Extended Career Support

eDIGI offers career support services to learner through-Career Coaching, Personalised Mentorship, Mock Interviews etc.

Resume Building Support

eDIGI also helps Learner on building Resume to Impress Recruiters by providning tips on showcasing skills & achievements professionally.

Comprehensive Content

eDIGI provides Best-in-class and engaging content by leading faculty and industry leaders in the form of videos, cases and projects.
Affiliations

Our Academic Partners

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Disclaimer*

eDIGILEARN does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic and professional requirements before enrolling. eDIGILEARN does not make any representations regarding the recognition or equivalence of the credits or credentials awarded, unless otherwise expressly stated.