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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

A time series refers to an ordered collection of data usually in time, an essential concept in multiple disciplines including engineering, medical, business, economics etc. As a subject, time-series has fascinated data analysts in the field of humanities, medicine, engineering, and climatology, among others. The Applied Time-Series Analysis online course by Swayam is a comprehensive programme offered by IIT Madras.

The Applied Time-Series Analysis Certification Syllabus will explore topics such as linear random processes, stationarity and ergodicity, parameter estimation methods and more. This is an AICTE approved course that runs for 12 weeks and is targeted at students and working professionals from related fields.

The time series concept is foundational for researchers interested in the development of models from simple and multivariate data. The Applied Time-Series Analysis Certification Course is a postgraduate programme and is free to enrol students interested in the subject. After finishing the course, you can earn a certificate by qualifying for the proctored exam.

The Highlights

Designed by IIT Madras
Online learning medium
Chemical engineering category
Regular tests and assignments
Proctored exam
12 weeks course
Postgraduate-level
E-verifiable certificate on completion
AICTE approved FDP course
Comprehensive syllabus

Programme Offerings

IIT Madras course
Chemical Engineering category
Core subject
AICTE approved
Postgraduate-level training
IIT Madras instructor
Online Course
Course Certification
regular assessments
Final Assessment
In-course tests

Courses and Certificate Fees

Fees Informations	Certificate Availability	Certificate Providing Authority
INR 1000	yes	IIT Madras

The Applied Time-Series Analysis training is free for all, but you must pay an exam fee to register for the proctored exam.

Applied Time-Series Analysis course fee structure

Course Name	Total Fee
Applied Time-Series Analysis Program	FREE
Proctored Exam Fee	Rs 1000

Eligibility Criteria

You must have studied the basics of mathematical concepts such as statistics and probability. You can also watch MOOC videos on the topic ‘Intro to Statistical Hypothesis Testing’ for better comprehension.

Certificate Qualifying Details

To be eligible for the Applied Time-Series Analysis Online Course certification, you must achieve the minimum score in the course assignments and proctored exam held at the end of the course.

What you will learn

Statistical skillsData science knowledge

After finishing the Applied Time-Series Analysis Program, you will gain complete knowledge of the topics given below:

Introduction to the concept of time-series and its applications.
Key concepts of time series and how it affects Data analysis.
Introduction to estimation theory and properties of estimators.
Discussion of case studies, time-series models, and more.

Who it is for

Research Associate

The Applied Time-Series Analysis certification will benefit students, researchers, and practitioners in the field of data analysis from various disciplines of engineering, economics, medicine, and humanities.

Admission Details

To apply to the online program of your choice by Swayam, you must follow these steps:

Visit the official Swayam website by clicking on this link: https://swayam.gov.in/
Use your active email ID, username and password to register or sign in to the website.
Search for the course you are interested in and open the course page.
Now, check the availability of the course and click on ‘Join’ if the MOOC has not yet started.
Fill in your username and password and start learning by signing in to your account.

Application Details

The Applied Time-Series Analysis training does not consist of any application form. All you need to do to register or sign in by entering your email address and password on the official Swayam website.

The Syllabus

Introduction & Overview; Review of Probability & Statistics – Parts 1 & 2

Introduction to Random Processes; Stationarity & Ergodicity

Auto- and cross-correlation functions; Partial correlation functions

Linear random processes; Auto-regressive, Moving average and ARMA models

Models for non-stationary processes; Trends, heteroskedasticity and ARIMA models

Fourier analysis of deterministic signals; DFT and periodogram

Spectral densities and representations; Wiener-Khinchin theorem; Harmonic processes; SARIMA models

Introduction to estimation theory; Goodness of estimators; Fisher’s information

Properties of estimators; bias, variance, efficiency; C-R bound; consistency

Least squares, WLS and non-linear LS estimators

Maximum likelihood and Bayesian estimators

Estimation of signal properties, time-series models; Case studies

Evaluation process

The proctored exam is an in-person test held at the end of the course for those who wish to earn a course certificate. The Applied Time-Series Analysis program consists of regular assignments throughout the course that carries a 25% weightage in your final score, whereas the proctored exam marks will hold a 75% weightage. You must register online to take the final exam and pay the exam fee.