Learn how to analyze market trends, design research studies, apply sampling techniques, and generate actionable business insights using practical market research methodologies. This course provides hands-on skills in research design, data collection, scaling methods, sampling, data analysis, and reporting for effective business decision-making.
The course begins with the foundations of market research, helping learners understand the scope, significance, and role of research in supporting business functions such as marketing, operations, advertising, HR, and production. Learners will also explore the scientific principles and characteristics of effective research.
As the course progresses, learners focus on research applications and problem definition, including identifying business problems, setting research objectives, and understanding measurement concepts. The course also introduces measurement and scaling techniques such as Likert scales, rank order scales, and paired comparison methods for accurate data collection and interpretation.
Advanced modules cover sampling design, probability and non-probability sampling techniques, primary and secondary data sources, questionnaire design, pilot studies, data processing, analysis, tabulation, and professional report presentation.
What makes this course unique is its end-to-end coverage of the complete market research lifecycle combined with practical business applications and structured analytical techniques. By the end of the course, learners will be able to confidently conduct research studies, analyze data, communicate findings effectively, and support data-driven business decisions in professional environments.
This module introduces the fundamentals of market research, including its scope, significance, and role in business decision-making. Learners will understand how research supports various business functions and explore the characteristics and scientific principles that define effective research.
What's included
8 videos4 assignments
Show info about module content
8 videos•Total 54 minutes
Introduction•8 minutes
Scope and significance•7 minutes
Research as a decision making tool•9 minutes
Distribution and Sales promotion•6 minutes
Types of research•6 minutes
Research Process•7 minutes
Characteristics of a good research•10 minutes
Scientific methods in research•2 minutes
4 assignments•Total 60 minutes
Getting Started with Market Research•10 minutes
Role of Research in Business Functions•10 minutes
Principles of Effective Research•10 minutes
Graded - Foundations of Market Research•30 minutes
Research Applications & Problem Definition
Module 2•2 hours to complete
Module details
This module focuses on applying research across business functions and defining research problems effectively. Learners will explore how research supports areas like advertising, HR, and production while developing skills to identify problems, set objectives, and understand measurement concepts.
What's included
8 videos4 assignments
Show info about module content
8 videos•Total 36 minutes
Problems In Research Introduction•6 minutes
Retailing And Cyber Marketing•2 minutes
Research In Adverstising•5 minutes
Research In Production•3 minutes
Research In HR•3 minutes
Sources Of Problem Identification•9 minutes
Objectives of Research•6 minutes
Concept of Measurement•3 minutes
4 assignments•Total 60 minutes
Identifying Research Problems•10 minutes
Functional Research Applications•10 minutes
Problem Identification & Objectives•10 minutes
Graded - Research Applications & Problem Definition•30 minutes
Measurement & Scaling Techniques
Module 3•2 hours to complete
Module details
This module explores how to measure and quantify research variables using appropriate techniques and scaling methods. Learners will understand measurement errors, types of scales, and advanced scaling techniques such as Likert, rank order, and paired comparison.
This module covers the principles of sampling design and methodology, including target group identification, sample size determination, and probability sampling techniques. Learners will gain insights into selecting representative samples for accurate research outcomes.
What's included
8 videos4 assignments
Show info about module content
8 videos•Total 30 minutes
Semantic Scale•6 minutes
Sampling Desgins•1 minute
Smaple vs Census•4 minutes
Basics Of Sampling Theory•1 minute
Define TG•6 minutes
Factors In Sample Design•4 minutes
Sample Size In MR•3 minutes
Probability Designs•5 minutes
4 assignments•Total 60 minutes
Scaling Extensions & Sampling Basics•10 minutes
Sampling Concepts & Target Groups•10 minutes
Designing Effective Samples•10 minutes
Graded - Sampling Design & Methodology•30 minutes
Sampling Techniques & Data Sources
Module 5•2 hours to complete
Module details
This module explores various sampling techniques and data sources, including probability and non-probability methods. Learners will also understand the role of primary and secondary data, as well as competitive intelligence in research.
What's included
8 videos4 assignments
Show info about module content
8 videos•Total 56 minutes
Simple and Random Sample and Stratified Sample•9 minutes
Cluster•7 minutes
Snowball Sampling•8 minutes
Strength And Weakness Of Probab vs Non-Prob And Prob vs Non-Prob•8 minutes
Secondary Sources•6 minutes
Competitive Intelligence•8 minutes
Primary Data•7 minutes
Data Collection Intro•2 minutes
4 assignments•Total 60 minutes
Probability Sampling Techniques•10 minutes
Non-Probability Sampling Approaches•10 minutes
Data Sources & Collection Overview•10 minutes
Graded - Sampling Techniques & Data Sources•30 minutes
Data Processing, Analysis & Reporting
Module 6•2 hours to complete
Module details
This module focuses on transforming collected data into actionable insights through processing, analysis, and reporting. Learners will understand questionnaire design, pilot studies, data tabulation, and effective report writing and presentation techniques.
What's included
8 videos4 assignments
Show info about module content
8 videos•Total 57 minutes
Data Collection Methods And Constructing Q're•11 minutes
Pilot Study•2 minutes
Data And Data Processing•7 minutes
Steps In Data Processing And Raw Data•6 minutes
Tabulation And Analysis•7 minutes
Report Writing, Significance of Report Writing And Mechanics of Report Writing•11 minutes
Precautions For Writing Reports•6 minutes
Oral Presentation•6 minutes
4 assignments•Total 60 minutes
Data Collection & Questionnaire Design•10 minutes
Data Processing & Preparation•10 minutes
Analysis, Reporting & Presentation•10 minutes
Graded - Data Processing, Analysis & Reporting•30 minutes
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