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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.

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What's inside

Syllabus

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Read about what's good

what should give you pause

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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Reviews summary

Genai for market research: practical and foundational

According to learners, this course offers a highly practical and timely introduction to leveraging Generative AI in market research. Students particularly value its focus on actionable strategies for tasks like customer segmentation, trend forecasting, and survey creation, highlighting how it can streamline workflows and drive innovation. The clear explanations and helpful hands-on activities are frequently praised for making complex GenAI concepts approachable. However, a segment of learners with strong technical or data science backgrounds found the course too introductory, seeking more in-depth technical details or advanced problem-solving scenarios.

Provides useful demonstrations and activities.

"The hands-on demos on customer segmentation and trend forecasting were particularly insightful..."

"I appreciated the video demonstrations, though I wished for more diverse examples..."

"The hands-on activities were very helpful for grasping the practical implementation."

Simplifies complex GenAI concepts effectively.

"The instructor explains complex ideas clearly and practically."

"I found the course brilliantly demystified GenAI for me, making it approachable and easy to understand."

"A must-take for future-proofing your market research career. The clarity of the modules and the focus on real-world impact are outstanding."

Directly applicable strategies for market research.

"This course is a game-changer for market research analysts! ... I've already started applying these concepts to streamline my work."

"Absolutely essential for any market research professional... clearly outlines how GenAI can revolutionize workflows..."

"Incredibly practical and timely! This course delivered exactly what it promised: actionable strategies for integrating GenAI..."

Desired more complex problem-solving or deeper dives.

"...wished for more diverse examples or a deeper dive into advanced model customization."

"My only suggestion would be to perhaps add more real-world, complex problem-solving scenarios or capstone projects..."

"Some parts could be more challenging for experienced users, but it's great for upskilling."

May be too introductory for advanced technical users.

"As someone with a background in data science, I was looking for more technical depth regarding the GenAI models themselves..."

"I was somewhat disappointed with the depth... I expected more advanced, technical insights for a course aimed at analysts."

"It feels more like a strong introductory course. I was hoping for more detailed examples of prompt engineering..."

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

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Use online resources to gain a deeper understanding of GenAI fundamentals

Browse courses on Generative AI

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Search for online tutorials about Generative AI
Follow a tutorial on how to use a Generative AI tool

Explore GenAI Tools and Platforms

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Familiarize yourself with the latest GenAI tools and platforms to enhance your market research capabilities.

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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

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Review statistics concepts to build a strong foundation for understanding in this course.

Browse courses on Statistics

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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

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Refresh your understanding of data collection methods to strengthen your foundation for market research.

Browse courses on Data Collection

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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

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Deepen knowledge and network by attending a workshop on GenAI

Browse courses on Generative AI

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Find and register for an online workshop
Attend the workshop, engage in discussions, and connect with experts

Simulate AI-powered Surveys

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Gain practical experience by conducting AI-driven surveys

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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

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Apply GenAI techniques to develop a sophisticated market segmentation model for a real-world business problem.

Browse courses on Market Segmentation

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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

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Demonstrate understanding by writing a blog post that explores how GenAI can impact the field

Browse courses on Generative AI

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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

Career center

Learners who complete GenAI for Market Research Analysts will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in GenAI for Market Research Analysts.

The Atomic Human

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As a comprehensive reference, this book covers the full spectrum of generative AI, from foundational concepts to advanced techniques and applications, providing a deep understanding of the field.

The Atomic Human: What Makes Us Unique in the Age...

Hardcover

The Atomic Human: What Makes Us Unique in the Age...

Kindle Edition

Python for Data Analysis

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The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.

GenAI for Market Research Analysts

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What's inside

Syllabus

Traffic lights

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Reviews summary

Genai for market research: practical and foundational

Activities

Career center

Reading list

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