Teaching
Success in new product development, market research and data analysis takes more than technical skills: it takes curiosity to innovate, willingness to analyze deeply and the drive to turn data into meaningful insights.
Master level
My master's courses cover new product development, market research and data analysis.
Master
Managing the lifecycle of innovative products from concept to launch: idea generation, concept screening and market analysis. Through case studies, workshops and project-based learning, students learn development processes, cross-functional collaboration and decision-making, to create products aligned with consumer needs and industry trends.
Master
Tools to gather, analyze and interpret data for marketing decisions: qualitative and quantitative research, sampling, survey design and data analysis. Hands-on projects on market trends, customer behavior and brand perception teach students to produce actionable insights.
Master
Data exploration and interpretation with R and Jamovi: data manipulation, statistical testing, visualization and regression analysis. Students learn to apply statistical methods confidently to real-world research and business problems.
Bachelor level
My bachelor's courses introduce basic marketing concepts and tools such as product and brand management.
Bachelor
Developing, positioning and managing brands in competitive markets: product lifecycle, brand equity and consumer perception. Case studies and projects on brand positioning, loyalty and innovation give students a foundation for building and sustaining strong brands.
Doctoral level
My research workshops give PhD students practical skills in semi-automated textual analysis with R, IRaMuTeQ and LIWC.
PhD
Advanced methods for analyzing large-scale text data with R, LIWC (Linguistic Inquiry and Word Count) and web scraping: preprocessing, sentiment analysis and thematic categorization. Practical exercises build proficiency in automated data collection and textual analysis for the social sciences.