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Quick Facts

Medium Of InstructionsMode Of LearningMode Of Delivery
EnglishSelf StudyVideo and Text Based

Course Overview

Foundation of Data Structures Certification Course will educate you and help you understand how vast amounts of data are efficiently managed and how they can be used in databases and improve index internet services. 

Data Structures which are efficiently created are useful and help in designing algorithms and software designs. This course will help teach you data types, like numbers, and step by step help you build a notional structure which will help organise and manage data structures efficiently.

Foundation of Data Structures Certification Course will primarily benefit individuals who are seeking jobs as Data Modelers, Data Engineers, and Data Editing Managers. Throughout the tenure of this course, individuals will be exposed to real-life scenarios to help them deal with data efficiently. This is an entry-level course designed for individuals who plan on making a career structuring data.

The Highlights

  • Online course for a duration of four months
  • IIT BombayX Honor Code e-Certificate
  • Class duration - 8 hours per week

Programme Offerings

  • Hands-on Experience
  • Program structure
  • World-Class Faculty
  • Accessible from Anywhere
  • Efficient data organization
  • Data Structures Creation
  • Hash-based structures
  • trees
  • graphs
  • linear
  • arrays
  • heaps

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesIIT Bombay

The Foundation of Data Structures Course fee has been mentioned in the table. You need to pay the application fee to enrol for the Foundation of Data Structures Course by IIT Bombay. 

Application Fee 

Type of Fee

Amount

Registration Fee

Rs. 475


What you will learn

Programming skills

Some of the skills you will acquire after completion of Foundation of Data Structures Certification Course are:

  • You will acquire all the knowledge needed to kick start your journey as a Data Engineer.
  • Enrolling for this course will ensure experiential knowledge of the tools required for Data Structuring, and basic programming concepts to help achieve them.

Who it is for

Foundation of Data Structures Course Online is designed for beginners as well as advanced candidates who are looking to pursue a career as a Data Engineer or Data Modellers.


Application Details

Foundation of Data Structures Course Online has a very easy and hassle-free admission process. Let us discuss the procedure needed to be followed for the admission process.

  • Create an account: The first step in the admission process would be to create an account on the website by using a valid email address, once the email address is verified the account will be created, use this email for all future logins.
  • Register for the Foundation of Data Structures course: Once you login to the website using the verified email address, select the Foundation of Data Structures course, this would redirect you to a webpage which would need you to enter registration details. Payment of the fee at this point is essential in order to enrol for the course. You will receive a registration email upon successful fund transfer.
  • Confirmation of registration status: Using the link received upon successful payment do a quick search in order to find your name in the list of candidates. If your name is not present, repeat the registration with correct details.
  • Register on the website: If your name is present in the list of candidates, register on the website using the verified email address. The material for the Foundation of Data Structures course will now be available to you.

The Syllabus

  • Learn the basic Built-in Data Types
  • Know how to build on with Data Structures and Algorithm
  • Get a clear disposition on Abstract Data Types
  • Learn to identify and strive to solve the Programming problem

  • Learn Operations with Binary Representations
  • Learn how Mathematical Induction can be used to define Operations
  • Know the Peano Axioms

  • Know the basics of Queue
  • Get to know Sequences
  • Learn Concatenation
  • Learn the functions and functionality of Lists
  • Learn how to use Balanced Parenthesis Sequence

Arrays and Linked Lists
  • now how to implement Stacks
  • Learn the implementation of Queues using Arrays and Linked Lists
  • Learn the implementation of Stacks using Arrays and Linked Lists
  • Know how to implement Queues

  • Learn about General Trees and Rooted Trees
  • Know the basics of Binary Tree
  • Learn how to operate the Binary Search Tree

  • Learn the nitty-gritties of Graph representation
  • Know more about the search and sort
  • Know the sequence of a node in Walk, Path and Cycle
  • Learn how to traverse a graph

Instructors

IIT Bombay Frequently Asked Questions (FAQ's)

1: Could you help me sign up?

Register using a valid email address on the website and using the link sent to your email. You will get access to the course material.

2: Is there any special browser I need to use?

Foundation of Data Structures Course by IIT Bombay course materials work best with the latest versions of Chrome, Safari, or Firefox.

3: If faced with a technical error while registering or logging in, what do I do?

Use these steps to troubleshoot. Check if you are on the latest version of your browser, check browser settings and enable Javascript as well as cookies, enable cache.

4: What is the fee for Foundation of Data Structures Course by IIT Bombay?

Most of the courses on the site are free to learn, but there may be a nominal fee for certification and participation.

5: What are the languages used for the course?

Currently, the Foundation of Data Structures Course by IIT Bombay is taught in English, with plans to offer the courses in regional languages as well.

6: Can I take more than one course at a time?

Yes, you can take courses in parallel, make sure to check the requirements for the individual courses as it would help balance your hours of study.

7: Can I take the same course again?

Yes, taking the same course multiple times is allowed.

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