10-Day Data Analysis with R

About the Course

The 10-Day Data Analysis with R professional certificate course delivers a rigorous, high-level curriculum designed to bridge the gap between academic statistical theory and enterprise-level data science. Over two weeks, participants transition from fundamental R syntax and RStudio workspace optimization into mastering the robust Tidyverse ecosystem. The syllabus methodically covers the entire lifecycle of an enterprise data pipeline—from automated data ingestion and complex cleaning to advanced exploratory data analysis (EDA). By combining statistical computing fundamentals with predictive modeling, hypothesis testing, and regression analysis, this program arms analytical professionals with the mathematical and computational tools required to extract objective, high-integrity insights from messy organizational datasets. Engineered specifically for data analysts, institutional researchers, policy officers, and quantitative scientists, this instructor-led course prioritizes scalable, reproducible workflows. Beyond backend statistical programming, learners discover how to translate complex metrics into business intelligence through publication-quality graphics using ggplot2 and dynamic, interactive Shiny dashboards. The final module culminates in an end-to-end data analytics project, requiring participants to compile their scripts, empirical models, and data visualizations into automated, executive-ready Quarto reports. Graduates emerge with a robust technical portfolio and the professional autonomy needed to direct sophisticated data operations and support high-stakes, data-driven decision-making within their organizations.