GenAI for Market Research Analysts

GenAI for Market Research Analysts is a comprehensive exploration of how Generative Artificial Intelligence (GenAI) is revolutionizing the field of market research. This course offers an in-depth understanding of the capabilities of GenAI in this domain and provides practical strategies for leveraging these powerful tools in day-to-day market research activities. This course is tailored to market research managers and team leads, market research analysts, and aspiring market researchers. It is ideal for professionals responsible for identifying GenAI opportunities and guiding their teams toward more efficient, innovative practices, those looking to enhance their workflows with GenAI-powered tools, and individuals aiming to future-proof their skills in market research. Participants should have familiarity with fundamental market research concepts and workflows, including data collection methods, data analysis techniques, and market segmentation. Experience with common market research tools and technologies, such as survey platforms and data visualization tools, as well as proficiency in data analysis using tools like Excel or SPSS, will be beneficial. An open mindset towards incorporating Generative AI tools and techniques, along with a willingness to experiment and learn, is essential for maximizing the benefit of this learning experience. By the end of this course, market research analysts will be equipped with the knowledge and skills to harness the transformative potential of GenAI, driving efficiency, innovation, and strategic insights in their work.

• GenAI for Market Research Analysts
• This course offers an in-depth understanding of the capabilities of GenAI in this domain and provides practical strategies for leveraging these powerful tools in day-to-day market research activities. Through discussions, video demonstrations, and hands-on activities, learners will gain insights into how GenAI can enhance productivity in data analysis, trend forecasting, customer segmentation, survey creation, and competitive analysis.