Advanced Survey Design & Statistical Analysis

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.

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.

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.

This course builds specialized skills in sophisticated survey methodology and research workflow automation, designed for professionals looking to elevate their market research capabilities. You’ll move beyond basic surveys to master conjoint analysis, a powerful technique for quantifying customer preferences and understanding the trade-offs they make when choosing a product. Through hands-on, simulated exercises, you will learn to design a choice-based study, optimize it for statistical efficiency, and interpret the results to guide strategic decisions in product design and pricing. In the second half of the course, you will tackle a common research bottleneck: manual data management. You will learn to create no-code workflow automations that connect survey platforms with data storage and communication steps using a browser‑based simulation tool. You’ll design workflows that automatically export new data and trigger real-time notifications to your team. By combining advanced analytics with smart automation, you will develop a technical skill set that dramatically enhances research efficiency, reduces manual error, and enables your organization to act on deep customer insights faster than ever before. This course equips you to become a more strategic and efficient market research analyst.

This course builds essential survey design capabilities for market research professionals and anyone tasked with gathering high-quality feedback. Learners will develop a strong understanding of different question types—from multiple-choice to open-ended—and master techniques for implementing conditional skip logic to create efficient, user-friendly respondent experiences. Through practical application and real-world case studies from organizations like the Pew Research Center and Spotify, you will build the technical and creative skills needed to design professional surveys that maximize completion rates and data quality. The curriculum is designed to be immediately applicable. You will learn not only the theory behind what makes a question effective but also how to construct clear, unbiased questions that align with core research objectives. By the end of the course, you will be able to design dynamic survey paths that route respondents past irrelevant sections, respecting their time and improving the relevance of the data you collect. This course provides a direct pathway to mastering the foundational skills required for roles in research operations, survey programming, and data analysis, enabling you to produce trustworthy and actionable insights.

This course builds essential statistical analysis capabilities for market research professionals. Learners will develop a strong understanding of statistical package functionality and master techniques for comparing group differences through hypothesis testing. You'll move beyond raw data to defensible insights by learning not just how to run a statistical test, but why it matters and what it means for the business. Through practical, hands-on application in real-world scenarios—such as A/B testing and customer satisfaction analysis—you will build the analytical skills needed to draw statistically valid conclusions from research data. You will master the two-sample t-test in Microsoft Excel, learning to interpret key metrics like the p-value and translate them into clear, actionable business recommendations. This course provides the foundational skills to use statistical evidence to answer critical business questions, validate assumptions, and contribute to a culture of data-driven decision-making in your organization.

This course is your entry point into the world of predictive analytics with R. Designed for aspiring data analysts and business professionals, this course empowers you to build and interpret multiple linear regression models from the ground up. You will move beyond simply running code and learn to critically evaluate your model's performance. Through a series of hands-on learnings and real-world case studies, you will master the techniques to diagnose your model's statistical assumptions using residual plots and assess its reliability with k-fold cross-validation. By the end of this course, you won't just build models—you'll build models you can trust. You'll leave with a validated, portfolio-ready project and the confidence to generate dependable forecasts that drive strategic business decisions.