Overview

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This program equips market research professionals with end-to-end analytical capabilities, from designing user-centric surveys with branching logic to building predictive models in R. Learners master statistical testing, workflow automation, and data governance practices essential for generating reliable, actionable market insights that inform strategic business decisions.

Syllabus

Course 1: Design and Analyze Impactful Market Surveys
Course 2: Design Smart Surveys with Skip Logic
Course 3: Survey Samples: Size and Methods
Course 4: Statistical Tests for Market Research
Course 5: Automate Surveys for Smart Market Insights
Course 6: Predict and Validate Regression Models in R
Course 7: Transform, Analyze, and Report Data with R
Course 8: Govern and Evaluate Research Data Quality

Courses

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This course is designed for aspiring and current professionals who want to master the art and science of market research. You will learn to move beyond basic questionnaires and create sophisticated, user-centric surveys that deliver high-quality, actionable data. The curriculum focuses on two critical skill sets: Designing efficient survey instruments with branching logic to maximize respondent engagement and completion rates, and applying rigorous statistical analysis to uncover the stories hidden within your data. Through a blend of real-world case studies, expert-led videos, and hands-on activities, you will learn how to architect survey flows, formulate unambiguous questions, and pilot your designs for success. You will then dive into data analysis, using in-browser tools to perform chi-square tests and interpret p-values to identify statistically significant relationships. By the end of this course, you will not only be able to build a professional-grade survey but also translate your quantitative findings into a clear, compelling narrative that drives strategic business decisions. This course equips you with the end-to-end skills to turn market feedback into a competitive advantage.
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This course builds data governance and quality management capabilities for research professionals. Learners will develop skills in applying metadata tagging for effective data governance and evaluating data quality against defined standards. Through practical application, learners will build the technical capabilities needed to implement robust data management practices that ensure information integrity and accessibility.
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Survey Samples: Size and Methods is a foundational course for aspiring market research analysts and professionals designing statistically sound studies. It builds essential quantitative skills to move from guesswork to confident, data-driven research design. You will learn the key differences between probability and non-probability sampling and how to select the proper method for any research objective. The course emphasizes practical application, guiding you through calculating valid sample sizes using confidence levels and margins of error, with hands-on practice using a sample size calculator to ensure reliable, defensible results. By the end of this course, you will be able to justify your methodological choices and design surveys that deliver trustworthy, decision-ready insights—balancing rigor with real-world business constraints of speed and cost.