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Christopher Klaus

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.

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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.

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What's inside

Syllabus

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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops practical strategies for leveraging GenAI in day-to-day market research activities
Explores GenAI capabilities in market research, enhancing productivity in data analysis, trend forecasting, and more
Suitable for market research professionals responsible for guiding teams towards innovative practices
Taught by Christopher Klaus, providing insights from industry experience
Assumes familiarity with market research concepts and workflows, catering to experienced professionals
Requires an open mindset towards GenAI tools and techniques, potentially limiting accessibility for those unfamiliar with AI

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in GenAI for Market Research Analysts with these activities:
Follow tutorials to learn about Generative AI
Use online resources to gain a deeper understanding of GenAI fundamentals
Browse courses on Generative AI
Show steps
  • Search for online tutorials about Generative AI
  • Follow a tutorial on how to use a Generative AI tool
Explore GenAI Tools and Platforms
Familiarize yourself with the latest GenAI tools and platforms to enhance your market research capabilities.
Show steps
  • Identify reputable providers of GenAI tools and platforms.
  • Explore the features and functionalities of different tools.
  • Complete tutorials and demonstrations to understand their applications in market research.
  • Experiment with the tools hands-on using sample datasets.
Review statistics for beginners
Review statistics concepts to build a strong foundation for understanding in this course.
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  • Review Probability Concepts
  • Review Hypothesis Testing Concepts
  • Practice interpreting and drawing conclusions from statistical results
Five other activities
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Review Data Collection Methods
Refresh your understanding of data collection methods to strengthen your foundation for market research.
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Show steps
  • Review lecture notes and textbooks from previous courses on data collection.
  • Complete practice exercises on designing and implementing surveys, focus groups, and interviews.
  • Participate in online forums or discussion groups to discuss data collection techniques.
Virtual Workshop on AI for Market Research
Deepen knowledge and network by attending a workshop on GenAI
Browse courses on Generative AI
Show steps
  • Find and register for an online workshop
  • Attend the workshop, engage in discussions, and connect with experts
Simulate AI-powered Surveys
Gain practical experience by conducting AI-driven surveys
Show steps
  • Create a sample survey
  • Implement AI-powered features (e.g., sentiment analysis)
  • Analyze the results and draw insights
Develop a GenAI-powered Market Segmentation Model
Apply GenAI techniques to develop a sophisticated market segmentation model for a real-world business problem.
Browse courses on Market Segmentation
Show steps
  • Identify a business problem that requires market segmentation.
  • Collect and prepare customer data relevant to the segmentation.
  • Apply GenAI algorithms to cluster customers into distinct segments.
  • Validate the segmentation model using statistical techniques.
  • Present your findings to stakeholders and discuss implications for marketing strategies.
Create a blog post on GenAI applications
Demonstrate understanding by writing a blog post that explores how GenAI can impact the field
Browse courses on Generative AI
Show steps
  • Choose a specific application of Generative AI
  • Research and gather information
  • Write a structured blog post including the use cases, benefits, and challenges associated with the chosen application

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