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Quick Facts

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

Course Overview

Swayam’s upcoming MCO-03: Research Methodology and Statistical Analysis online course teaches its applicants about research’s most significant aspect - research methodology. This extensive programme falls under the ‘Commerce’ purview and aims to help researchers gain the necessary skills to establish highly-efficient methodologies for their research studies. Through online videos, students can learn at a self-directed pace as well.

The MCO-03: Research Methodology and Statistical Analysis certification syllabus is a thorough curation by the Indira Gandhi National Open University. It covers numerous vital topics, including business research, random sampling, comparative scaling techniques, research design, variance, correlation, data processing, non-random sampling, Bayes’ Theorem, scatters plots, etc. It also explains research report writing, critical terminologies, and interpreting statistical data.

Spread across 16 weeks, the MCO-03: Research Methodology and Statistical Analysis training is entirely online, delivered by the University’s skilled faculty, Dr Subodh Kesharwani. The curriculum is set at the postgraduate level, teaching beginners about research skills and helping existing research improve their research quality.

The Highlights

  • Upcoming virtual programme
  • 16-week course in Commerce
  • PG-level learning 
  • Diverse syllabus
  • Indira Gandhi National Open University’s curation
  • Widely-skilled instructor
  • Sample YouTube video for reference

Programme Offerings

  • Comprehensive Syllabus
  • 16-Week Programme
  • Online lessons
  • PG-level of study
  • Indira Gandhi National Open University’s curriculum
  • ‘Commerce’ category
  • Renowned instructor

Courses and Certificate Fees

Certificate Availability
no

What you will learn

Research skillsStatistical skills

Finishing all the MCO-03: Research Methodology and Statistical Analysis course modules will help aspirants be fluent in:

  • Drafting appropriate methodology for research studies
  • Building the required research skills
  • Improving research quality
  • Critical concepts such as business research, research methods, planning, problems, hypothesis, sampling, MST (Measurement of scaling techniques), data processing, variance, correlation, time-series analysis, probability, estimation, etc

Who it is for

The MCO-03: Research Methodology and Statistical Analysis programme is for researching postgraduates, whether they’re beginners or existing professionals.


Admission Details

  • Use the https://onlinecourses.swayam2.ac.in/nou21_cm03/preview link to preview the MCO-03: Research Methodology and Statistical Analysis training. 
  • Go through all the programme information. Then, click on ‘Sign-in/Register’ to obtain admission by either logging in or registering for the course.
  • If you have a Swayam account already, sign in with it. If not, open one by entering the on-screen details. Your Microsoft/Google/Microsoft ID is usable for signing in as well. 
  • Continue profile creation by selecting ‘send verification code’ after you’ve filled in your details. 
  • The code will be present in your email. Type it in and choose ‘create’.
  • Swayam will activate your ID, which you can use to start learning this curriculum when it begins.

Application Details

The MCO-03: Research Methodology and Statistical Analysis online course mandates no form fill-up. Enrolment only requires you to create your Swayam account through an email, password, and username or signing in with an existing one.

The Syllabus

  • Introduction to Business Research
  • Research Thought & FAQ
  • Research Methods

  • Research plan and Research Problem
  • Formulation of Objectives
  • Hypothesis
  • Research Design
  • Collection of Data

  • Sampling
  • Random Sampling
  • Non-Random Sampling
  • Types of sampling Errors & Control

  • Measurement of Scaling Techniques (MST)- (Measurement)
  • Comparative Scaling Techniques
  • Non-Comparative Scaling Techniques

  • Processing of data
  • Diagrammatic Presentation of data
  • Graphical Presentation

  • Statistical Derivatives
  • Measure of Central Tendency (MCT)

  • Variance
  • Measure of Variance
  • Measure of Skewness

  • Correlation
  • Scatter Plots
  • Correlation Coefficient
  • Regression Analysis
  • Types of Regression Analysis (Simple & Multiple)
  • Correlation Vs. Regression & Standard Error

  • Time series Analysis
  • Components of Time Series
  • Methods of Measurement of Trends
  • Index No.
  • Construction of Index Numbers and Methods

  • Probability
  • Fundamental Concepts & approaches to probability
  • Probability Rules
  • Probability under Statistical Independence
  • Probability under Statistical Dependence
  • Bayes’ Theorem

  • Probability Distribution
  • Types of Probability Distribution- discrete (Part-I)
  • Types of Probability Distribution-continuous (Part-II)

  • Estimation
  • Confidence and interval
  • Hypothesis Testing
  • Theory of Testing Hypothesis

  • Type-1 & Type-2 Error
  • One Tailed & Two Tailed Test
  • Z-Test

  • Small Samples Vs. Large Samples
  • Parametric & Nonparametric test
  • T-Test
  • Paired t-test
  • Unpaired t-test
  • Chi square Test-1

  • Interpretation of Statistical data
  • Research Report Writing

  • Terminologies Used in Research & Statistics Part-1: A to K 
  • Terminologies  Used in Statistics & Research Part-2: 1 L to Z

Instructors

Subodh Kesharwani
Associate Professor

IGNOU

IGNOU Frequently Asked Questions (FAQ's)

1: Will Indira Gandhi National Open University’s instructor deliver this programme?

Yes. Their renowned faculty member, Dr Subodh Kesharwani, a bronze-medal postgraduate and a skilled researcher, teaches this course.

2: How long will this curriculum last?

The MCO-03: Research Methodology and Statistical Analysis programme is for a total 16-week duration.

3: Which category does this training belong to?

This is a ‘Commerce’-domain programme.

4: Can I enroll while pursuing my UG degree?

No. This is a postgraduate programme.

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