Market Research Methodology and Sampling
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Market Research Methodology and Sampling
This course is part of Marketing Research and Analytics Specialization
Instructor: EDUCBA
Included with
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What you'll learn
Analyze market trends and apply market research methods to business problems.
Design sampling, scaling, and data collection techniques for research studies.
Interpret research findings and communicate insights through reports and presentations.
Skills you'll gain
- Business Analysis
- Presentations
- Research Methodologies
- Market Analysis
- Quantitative Research
- Data Collection
- Business Research
- Data Presentation
- Statistical Analysis
- Marketing
- Sampling (Statistics)
- Report Writing
- Market Research
- Sample Size Determination
- Research Reports
- Research Design
- Data Transformation
- Data Processing
- Data Analysis
Details to know
May 2026
24 assignments
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There are 6 modules in this course
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
8 videosβ’Total 54 minutes
- Introductionβ’8 minutes
- Scope and significanceβ’7 minutes
- Research as a decision making toolβ’9 minutes
- Distribution and Sales promotionβ’6 minutes
- Types of researchβ’6 minutes
- Research Processβ’7 minutes
- Characteristics of a good researchβ’10 minutes
- Scientific methods in researchβ’2 minutes
4 assignmentsβ’Total 60 minutes
- Graded - Foundations of Market Researchβ’30 minutes
- Getting Started with Market Researchβ’10 minutes
- Role of Research in Business Functionsβ’10 minutes
- Principles of Effective Researchβ’10 minutes
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
8 videosβ’Total 36 minutes
- Problems In Research Introductionβ’6 minutes
- Retailing And Cyber Marketingβ’2 minutes
- Research In Adverstisingβ’5 minutes
- Research In Productionβ’3 minutes
- Research In HRβ’3 minutes
- Sources Of Problem Identificationβ’9 minutes
- Objectives of Researchβ’6 minutes
- Concept of Measurementβ’3 minutes
4 assignmentsβ’Total 60 minutes
- Graded - Research Applications & Problem Definitionβ’30 minutes
- Identifying Research Problemsβ’10 minutes
- Functional Research Applicationsβ’10 minutes
- Problem Identification & Objectivesβ’10 minutes
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.
What's included
8 videos4 assignments
8 videosβ’Total 32 minutes
- Errors In Measurementβ’4 minutes
- Tecniques Of Measurementβ’2 minutes
- Meaning of Scalingβ’6 minutes
- Types of Scalesβ’5 minutes
- Comparative scalesβ’1 minute
- Paired Comparisonβ’5 minutes
- Rank Orderβ’5 minutes
- Likert Scaleβ’3 minutes
4 assignmentsβ’Total 60 minutes
- Graded - Measurement & Scaling Techniquesβ’30 minutes
- Understanding Measurement in Researchβ’10 minutes
- Introduction to Scaling Methodsβ’10 minutes
- Advanced Scaling Techniquesβ’10 minutes
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
8 videosβ’Total 30 minutes
- Semantic Scaleβ’6 minutes
- Sampling Desginsβ’1 minute
- Smaple vs Censusβ’4 minutes
- Basics Of Sampling Theoryβ’1 minute
- Define TGβ’6 minutes
- Factors In Sample Designβ’4 minutes
- Sample Size In MRβ’3 minutes
- Probability Designsβ’5 minutes
4 assignmentsβ’Total 60 minutes
- Graded - Sampling Design & Methodologyβ’30 minutes
- Scaling Extensions & Sampling Basicsβ’10 minutes
- Sampling Concepts & Target Groupsβ’10 minutes
- Designing Effective Samplesβ’10 minutes
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
8 videosβ’Total 56 minutes
- Simple and Random Sample and Stratified Sampleβ’9 minutes
- Clusterβ’7 minutes
- Snowball Samplingβ’8 minutes
- Strength And Weakness Of Probab vs Non-Prob And Prob vs Non-Probβ’8 minutes
- Secondary Sourcesβ’6 minutes
- Competitive Intelligenceβ’8 minutes
- Primary Dataβ’7 minutes
- Data Collection Introβ’2 minutes
4 assignmentsβ’Total 60 minutes
- Graded - Sampling Techniques & Data Sourcesβ’30 minutes
- Probability Sampling Techniquesβ’10 minutes
- Non-Probability Sampling Approachesβ’10 minutes
- Data Sources & Collection Overviewβ’10 minutes
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
8 videosβ’Total 57 minutes
- Data Collection Methods And Constructing Q'reβ’11 minutes
- Pilot Studyβ’2 minutes
- Data And Data Processingβ’7 minutes
- Steps In Data Processing And Raw Dataβ’6 minutes
- Tabulation And Analysisβ’7 minutes
- Report Writing, Significance of Report Writing And Mechanics of Report Writingβ’11 minutes
- Precautions For Writing Reportsβ’6 minutes
- Oral Presentationβ’6 minutes
4 assignmentsβ’Total 60 minutes
- Graded - Data Processing, Analysis & Reportingβ’30 minutes
- Data Collection & Questionnaire Designβ’10 minutes
- Data Processing & Preparationβ’10 minutes
- Analysis, Reporting & Presentationβ’10 minutes
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