12 AI Courses for Market Research Analysts that You Should Know About in 2025

The landscape of market research is undergoing a transformation, driven by the rapid integration of Artificial Intelligence (AI) into business processes. For Market Research Analysts, this shift underscores the urgency of upskilling to remain competitive in an evolving industry. As AI continues to enhance data analysis, prediction accuracy, and customer insights, professionals in this field must adapt to these changes or risk falling behind. The potential impact on job roles is significant, making it crucial for analysts to stay ahead of the curve by acquiring AI expertise.

Why AI matters for Market Research Analysts today

AI is increasingly becoming a cornerstone for Market Research Analysts, offering tools that streamline data collection and analysis, improve accuracy, and uncover insights that were previously unreachable. With 69% of businesses reportedly using AI to enhance their operations, the demand for skilled professionals who can leverage these technologies is on the rise. This article aims to guide Market Research Analysts in identifying the best AI courses available, providing them with the skills necessary to thrive in a data-driven world.

The Growing Role of AI in Market Research Analysts

AI applications in market research are diverse and transformative. Automation of repetitive tasks such as data entry and report generation allows analysts to focus on more strategic activities. AI-driven decision-making tools provide deeper insights, helping analysts tailor their strategies to meet specific customer needs. Personalization through AI enables more targeted marketing efforts, resulting in increased customer satisfaction and loyalty. These advancements are reshaping how Market Research Analysts conduct their work, making AI knowledge an essential asset.

Benefits of becoming an AI expert in Market Research Analysts

For Market Research Analysts, becoming proficient in AI offers numerous advantages. Mastery of AI tools enhances efficiency, allowing analysts to process vast amounts of data quickly and accurately. This proficiency leads to better decision-making and more effective strategies that drive business growth. Additionally, AI expertise enhances career prospects, as companies increasingly seek analysts who can integrate these technologies into their research processes. By investing in AI education, analysts not only secure their job positions but also open doors to new opportunities within the industry.

This article will compare 12 AI courses designed to equip Market Research Analysts with the necessary skills to excel in their field. Among these, the CompleteAI Training offers an extensive library of over 100 video courses and certifications tailored specifically for professionals in this domain. With affordable subscription options, this course provides daily updates on the latest AI tools and news, ensuring continuous learning and adaptation to industry trends.

Comparison: All AI Courses for Market Research Analysts (Updated Q2' 2025)

Course Name	Provider	Price	Key Topics	Pros	Cons	Best For
AI for Market Research Analysts	Complete AI Training	$29/month or $8.25/month billed annually	Specialized video courses, certifications, AI tools updates, industry news	Highest rating, extensive courses, daily updates, affordable pricing	Subscription based, ongoing payment required	Market Research Analysts professionals
GenAI for Market Research Analysts	Coursera	$49-$79 (one-time, free to audit)	Generative AI integration, data analysis, trend forecasting	Tailored for professionals, practical demos, shareable certificate	Short duration, intermediate level	General learners
ChatGPT for Beginners: Using AI for Market Research	Coursera Project Network	$49 (free trial available)	ChatGPT, prompt engineering, market analysis	Short, beginner-friendly, practical focus	Limited depth, not for advanced learners	General learners
AI Essentials to Create Engaging Presentations	Market Research Society (MRS)	$190-$320 (estimated)	AI tools for presentations, communication of insights	Practical presentation skills, enhances communication	Pricing not specified, single-day course	General learners
AI Agents in Market Research	Market Research Society (MRS)	$190-$320 (estimated)	AI agents, data insights, quantitative and qualitative research	Focus on AI agent technology, comprehensive applications	Pricing not specified, requires foundational AI knowledge	General learners
AI Act Compliance for Marketing and Market Research	Market Research Society (MRS)	$190-$320 (estimated)	AI systems compliance, EU AI Act, risk management	Focus on regulatory compliance, critical for EU operations	Pricing not specified, primarily regulatory	General learners
Mastering AI and Customer-Centricity	Market Research Society (MRS)	$190-$320 (estimated)	AI implementation, customer experience strategy	Focus on practical AI, customer-centric strategies	Pricing not specified, prior knowledge may be needed	General learners
GenAI for Business Intelligence Analysts	Coursera	$49-$79 (one-time, free to audit)	Generative AI for BI, data analysis, reporting	Relevant for BI crossover, practical applications	Not market research-specific, intermediate level	General learners
GenAI for Marketing Analysts	Coursera	$49-$79 (one-time, free to audit)	Generative AI, marketing strategies, campaign optimization	Practical marketing applications, supports innovation	Not exclusive to market research, intermediate level	General learners
GenAI for Digital Marketing and Ecommerce Analysts	Coursera	$49-$79 (one-time, free to audit)	Generative AI, digital marketing, ecommerce analytics	Focus on digital analytics, hands-on with AI tools	Not exclusive to market research, intermediate level	General learners
GenAI for Business Analysts	Coursera	$49-$79 (one-time, free to audit)	Generative AI, faster insights, data-driven decisions	Emphasizes speed and efficiency, applicable to business analytics	Not market research-specific, intermediate level	General learners

Understanding AI Training for Market Research Analysts Professionals

Market Research Analysts are increasingly incorporating AI to enhance data analysis, trend forecasting, and strategic decision-making. With multiple training options available, professionals in this field need to choose the most suitable AI courses to advance their careers. Here, we compare various AI courses designed for Market Research Analysts.

Course 1: CompleteAI Training

CompleteAI Training offers a comprehensive library of over 100 specialized video courses and certifications tailored specifically for Market Research Analysts. It provides continuous updates on AI tools, along with industry news relevant to market research.

Key topics covered include AI applications in data analysis, customer segmentation, and trend forecasting. The course is suitable for professionals at all skill levels seeking ongoing education in AI.

Pros:
• Extensive range of courses and certifications
• Daily updates on AI tools and news
• Affordable pricing, especially with annual billing

Cons:
• Requires ongoing subscription

Best suited for market research professionals seeking comprehensive and updated AI training resources.

Course 2: GenAI for Market Research Analysts by Coursera

GenAI for Market Research Analysts by Coursera focuses on integrating Generative AI into market research workflows. It includes practical demos using AI tools like ChatGPT and Google Gemini.

This intermediate-level course covers productivity, trend forecasting, and competitive analysis, catering to professionals with some prior experience in market research.

Pros:
• Hands-on demos with AI tools
• Includes ethical considerations
• Shareable certificate

Cons:
• Short duration (1 hour)
• Assumes prior market research knowledge

Ideal for professionals seeking practical AI integration techniques within market research.

Course 3: ChatGPT for Beginners: Using AI for Market Research by Coursera

ChatGPT for Beginners is a guided project introducing the use of ChatGPT for market research tasks. It covers prompt engineering and content marketing.

This beginner-friendly course is designed for professionals new to AI or ChatGPT, focusing on practical applications.

Pros:
• Short and practical
• Beginner-friendly

Cons:
• Limited depth
• Not suitable for advanced learners

Best for beginners looking to quickly grasp ChatGPT applications in market research.

Course 4: AI Essentials to Create Engaging Presentations by Market Research Society (MRS)

AI Essentials to Create Engaging Presentations teaches AI tools for creating dynamic presentations, aimed at enhancing communication of insights.

This course is designed for market researchers looking to improve their presentation skills through AI.

Pros:
• Practical presentation skills
• Enhances communication of research insights

Cons:
• Pricing not explicitly stated
• Single-day course may require follow-up

Suitable for professionals focused on improving their presentation skills using AI.

Course 5: AI Agents in Market Research by Market Research Society (MRS)

AI Agents in Market Research focuses on integrating autonomous AI agents into market research workflows.

This course covers both quantitative and qualitative research applications, requiring foundational AI knowledge.

Pros:
• Focus on AI agent technology
• Covers quantitative and qualitative research

Cons:
• Pricing not explicitly stated
• Requires foundational AI understanding

Ideal for professionals interested in advanced AI applications in market research.

Course 6: AI Act Compliance for Marketing and Market Research by MRS

AI Act Compliance for Marketing and Market Research provides knowledge on managing AI systems in compliance with the EU AI Act.

Focused on regulatory compliance, this course is critical for organizations operating in or with the EU.

Pros:
• Focus on regulatory compliance

Cons:
• Pricing not explicitly stated
• Primarily regulatory, less technical

Best for professionals needing to navigate AI regulations.

Course 7: Mastering AI and Customer-Centricity by MRS

Mastering AI and Customer-Centricity emphasizes practical AI implementation to transform customer experience strategies.

Suitable for market research professionals focusing on customer-centric innovation.

Pros:
• Focus on real-world AI implementation
• Emphasizes customer-centric strategies

Cons:
• Pricing not explicitly stated
• May require prior customer experience knowledge

Ideal for professionals aiming to enhance customer strategies using AI.

Course 8: Create Short Insight Videos with AI by MRS

Create Short Insight Videos with AI teaches using AI to create engaging video content for stakeholder engagement.

This course is designed for analysts looking to improve communication and influence through AI-powered video content.

Pros:
• Practical skills for video content creation
• Enhances communication and stakeholder engagement

Cons:
• Pricing not explicitly stated
• Focuses on specific communication format

Best for professionals interested in enhancing their video communication skills.

Course 9: GenAI for Business Intelligence Analysts by Coursera

GenAI for Business Intelligence Analysts focuses on leveraging Generative AI for BI tasks, including data analysis and reporting.

This course is suitable for market research analysts looking to expand into business intelligence roles.

Pros:
• Relevant for BI and market research crossover
• Covers practical AI applications in analytics

Cons:
• Not tailored to market research
• Intermediate level may require experience

Ideal for professionals seeking to bridge market research and business intelligence.

Course 10: GenAI for Marketing Analysts by Coursera

GenAI for Marketing Analysts focuses on using Generative AI to innovate marketing strategies.

This course is useful for market research analysts working closely with marketing teams.

Pros:
• Practical marketing applications of AI
• Supports innovation in strategy development

Cons:
• Not exclusive to market research
• Intermediate level may require marketing knowledge

Suitable for professionals looking to innovate in marketing strategy development.

Course 11: GenAI for Digital Marketing and Ecommerce Analysts by Coursera

GenAI for Digital Marketing and Ecommerce Analysts covers AI use in digital marketing and ecommerce analytics.

This course is relevant for market research analysts in digital sectors.

Pros:
• Focus on digital and ecommerce analytics
• Hands-on with AI tools for marketing

Cons:
• Not exclusive to market research
• Intermediate level

Best for professionals in digital marketing and ecommerce analytics.

Course 12: GenAI for Business Analysts by Coursera

GenAI for Business Analysts teaches using Generative AI for faster insights and data-driven decision-making.

This course is useful for market research analysts seeking to improve efficiency in their analyses.

Pros:
• Emphasizes speed and efficiency in analysis
• Applicable to a range of business analytics tasks

Cons:
• Not market research-specific
• Intermediate level

Ideal for professionals aiming to enhance the speed and efficiency of their analytical processes.

Overall Recommendations for Market Research Analysts

When selecting an AI course, Market Research Analysts should consider their current skill level, specific interests, and professional goals. For comprehensive and up-to-date training, CompleteAI Training offers extensive resources and is highly affordable with annual billing. For those seeking practical applications in market research workflows, GenAI for Market Research Analysts by Coursera provides focused, hands-on demos.

Courses like ChatGPT for Beginners are ideal for those new to AI, while AI Agents in Market Research by MRS caters to those with foundational AI knowledge looking to explore advanced applications.

Ultimately, the best choice will depend on individual learning objectives and career aspirations within market research and AI integration.