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  3. GenAI for Market Research Analysts

GenAI for Market Research Analysts

This course provides a comprehensive understanding of how GenAI can be leveraged to enhance various marketing functions, including campaign optimization, customer segmentation, sentiment analytics, and performance analysis.

Christopher Klaus
Christopher Klaus
Business | core | 1 hour 10 minutes |   Published: Aug 2024
In partnership with:  Coursera

    Discussions

Overview

1KSTUDENTS*
97.9%RECOMMEND*

This course includes:

  • 1 hour of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

GenAI for Marketing Analysts is an in-depth course designed to explore the transformative impact of Generative Artificial Intelligence on marketing data analytics. This course provides a comprehensive understanding of how GenAI can be leveraged to enhance various marketing functions, including campaign optimization, customer segmentation, sentiment analytics, and performance analysis. Through interactive discussions, practical demonstrations, and hands-on activities, learners will gain the skills necessary to integrate GenAI tools into their marketing workflows, driving innovation and efficiency. 

Participants will also delve into the ethical considerations and potential risks associated with the use of GenAI in marketing analytics, examining best practices for responsible implementation. By the end of this course, marketing 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. 

Skills You Will Gain

Efficiency
Ethical Considerations
GenAI Tools
Innovation
Performance Analysis

Learning Outcomes (At the end of this program you will be able to)

  • Identify the capabilities of GenAI for enhancing marketing data analytics functions. 
  • Evaluate the results of GenAI for a real-world application in marketing analytics. 
  • Compare and contrast the risks, challenges, and ethical considerations of GenAI in the workplace for marketing analytics.  

Prerequisites

  • Basic Knowledge of Marketing Concepts and Strategies 
  • Experience with Marketing Tools 
  • Curiosity and willingness to explore new technologies

 

 

Who Should Attend

This course is tailored to marketing analytics team leaders and marketing analysts, including: 

  • Marketing Analytics Managers and Team Leads: Responsible for identifying GenAI opportunities and guiding their teams toward more efficient, innovative, and forward-thinking practices. 
  • Marketing Analysts: Looking to enhance their workflows and boost productivity by incorporating GenAI-powered tools and techniques. 
  • Aspiring Marketing Professionals: Wanting to future-proof their skills and gain a competitive edge by mastering the integration of GenAI in marketing analytics.  

Curriculum

Instructors

Frequently Asked Questions

How much do the courses at Starweaver cost?

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Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

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No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

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Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

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Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: GenAI for Market Research Analysts
Christopher Klaus

Christopher Klaus

Navigating the intersection of data science, technology innovation, and leadership, Christopher has established a distinguished career spanning diverse sectors, including software, government, healthcare, education, and advertising. As a leader and innovator, Christopher is driven by a passion for solving complex challenges and leveraging technology to drive meaningful advancements. At the core of Christopher’s professional ethos is the commitment to unlocking potential—both in the technologies utilized and the teams led.

With expertise in data analytics, governance, engineering, and cloud technologies, Christopher has been at the forefront of deploying advanced solutions that foster strategic growth and operational excellence. Proficient in AWS, GCP, and Azure, and deeply engaged in AI and machine learning applications, Christopher consistently pioneers transformative projects that push the boundaries of technological innovation. Beyond technical achievements, Christopher cultivates environments where teams can thrive, fostering collaboration and continuous improvement.

Education and mentorship play a fundamental role in Christopher’s leadership philosophy. Through knowledge sharing, the development of educational programs, and contributions to scholarly publications, Christopher actively nurtures a culture of learning and innovation. Recognized through various honors and awards, Christopher’s contributions extend beyond personal milestones, shaping communities and setting new benchmarks in the tech industry. Each day presents an opportunity to inspire change, drive progress, and pave the way for future generations of innovators.

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Segment 01 - Introduction to GenAI for Market Research Analysts

Segment 02 - GenAI and Marketing Analytics Glossary

Segment 03 - History & Background for GenAI and Market Research Analysts

Segment 04 - Demo for Insight Generation into Market Trends and Customer Segmentation with ChatGPT

Segment 05 - Demo for Customer Trend Analysis with Claude AI

Segment 06 - Remediating Risks and Ethical Concerns

Segment 07 - Demo for Survey Creation and Competitive Analysis with ChatGPT

Segment 08 - Demo for Survey Creation with Microsoft CoPilot

Segment 09 - Demo for Competitive Analysis with Google Gemini

Segment 10 - Practice Project for Market Research Analysts

Segment 11 - Closing Thoughts: What’s Next