Market Research Methods and Data Analysis Certificate Specialization

Examine qualitative research fundamentals by grasping the key principles, methodologies, and philosophical foundations of qualitative inquiry.

Design effective studies by framing research questions, choosing appropriate methods, and planning studies that yield rich and relevant data.

Apply data collection techniques by conducting interviews, facilitating focus groups, and documenting observations confidently.

Analyze themes using coding techniques to identify patterns, refine insights, and create actionable, valid research findings.

Design mixed-methods research studies tailored to diverse problems, aligning research questions and methodologies effectively.

Apply practical strategies to collect, organize, and integrate qualitative and quantitative data using appropriate tools and workflows.

Analyze integrated datasets to generate actionable insights while addressing ethical consideration.

Develop compelling reports and presentations that synthesize findings into narratives, visuals, and recommendations for diverse stakeholders.

Identify the capabilities of GenAI for basic role-specific market research functions.

Examine real-world applications to leverage GenAI for streamlining work and fostering innovation in market research functions.

Deploy strategies and tactics to responsibly integrate GenAI into market research practices, while maintaining human oversight and accountability.

Identify the fundamentals of competitive analysis and benchmarking.

Interpret and apply market research insights to practical problem solving.

Communicate clearly comprehensive competitive analysis reports.

Evaluate and strategically apply competitive analysis.

Analyze the role of storytelling in data visualization to enhance audience engagement and facilitate deeper understanding.

Design and synthesize effective, persuasive data visualizations by applying advanced design principles and storytelling techniques.

Evaluate and interpret data critically for accuracy, relevance, and potential biases to ensure integrity and objectivity in narratives.

Demonstrate the ability to select and effectively use various tools and software for developing engaging and visually appealing data stories.