Market Research Data Analysis and Governance with R

You will develop reproducible analytics practices using R, paired with governance controls that make research outputs auditable and reliable for stakeholders. The course begins with file management and naming conventions, metadata tagging, and data-quality KPI monitoring to ensure high data integrity standards. It then introduces core R skills for data import, tidy transformations, and pipe-based workflows to join, filter, and aggregate multi-source datasets using the Tidyverse ecosystem. You will learn to author parameterized R Markdown reports to automate regular reporting and to perform dia…