Marketing Research and Analytics

Learn how to analyze consumer preferences, evaluate product attributes, and apply conjoint analysis to make data-driven product, pricing, and marketing decisions. This course provides practical skills in market research, choice-based modeling, customer segmentation, and consumer insight interpretation. The course begins with the foundations of market research and consumer insights, helping learners understand how data, product selection behavior, and preference analysis support business decision-making. Learners will explore how conjoint utilities reveal what customers value when choosing between product options. As the course progresses, learners examine the core concepts of conjoint analysis, including choice-based modeling, product attributes and levels, segmentation strategies, and applications in product design, pricing, and customer targeting. Advanced modules focus on designing and running conjoint studies, including method selection, experimental design, simulation techniques, and prediction of consumer choices. Learners will understand how to create efficient study designs and translate research data into practical decisions. The course concludes with result interpretation and real-world case studies, including a motorbike market example. Learners will apply conjoint insights to identify customer segments, optimize product offerings, and support strategic marketing decisions. What makes this course unique is its practical, case-driven approach that connects consumer behavior, market research, and analytics. By the end of the course, learners will be able to design conjoint studies, interpret results confidently, and apply consumer preference insights to real business challenges.

Learn how to analyze global markets, conduct international marketing research, and apply structured research methods to support data-driven business decisions in cross-border environments. This course provides practical skills in market analysis, competitor research, data collection, and international research strategy. The course begins with the foundations of marketing research, helping learners understand the importance of research in both domestic and international business contexts. Learners will explore how research supports market analysis, competitor evaluation, and strategic decision-making across global environments. As the course progresses, learners focus on defining research objectives, understanding international market dynamics, and identifying the core tasks involved in analyzing global business environments. The course also explains how organizations use research to reduce uncertainty when entering foreign markets. Advanced modules explore primary and secondary data sources, structured research processes, and the practical challenges involved in conducting research across cultures, economies, and regulatory environments. Learners will understand how to adapt research techniques effectively for international markets and real-world business scenarios. What makes this course unique is its strong focus on international research applications and cross-border business challenges. By the end of the course, learners will be able to confidently design research strategies, analyze global markets, interpret research findings, and support international marketing decisions using practical and structured research methodologies.

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.