Use matching, weighting, propensity scores, and stratification to prepare data for causal analysis.

Use the Potential Outcomes Framework to estimate what we cannot measure.

Master the essentials of R for Data Science. Learn how to manipulate data, visualize insights, and apply statistical methods to solve real-world problems. This course is perfect for those looking to advance their skills in data analysis and data science with R.

An introduction to the fundamentals of the R programming language for experienced programmers.

Mimic experiments with the data you already have and measure the effects of treatment even with incomplete data.

Learn how to use R with databases to manage and analyze large datasets. Explore the power of R for database operations, from querying to visualization, and leverage SQL integration for efficient data handling and analysis.