Verkrijg een grondig begrip van R, een van de meest gebruikte talen voor data-analyse. Verken fundamentele datatypes en eendimensionale waarden, en ga vervolgens verder naar multidimensionale structuren, waaronder matrices, dataframes en lijsten. Bouw de vaardigheden op die nodig zijn om R effectief toe te passen in statistische analyse en datagedreven besluitvorming.

Establish foundational syntax by performing basic arithmetic, declaring variables, understanding core data types, ultimately manipulating single dimension vectors alongside categorical factors.

Een praktische introductie tot R-programmeren, afgestemd op biologen en bioinformatici. Leer biologische data analyseren, visualiseren en interpreteren met R, aan de hand van praktijkvoorbeelden uit genomica, ecologie en experimentele biologie.

Master the essentials of control flow in R, including conditional statements, loops, and the powerful apply family of functions. This course is designed for beginners and will guide you through practical, real-world examples to help you write efficient and readable R code.

Master the art of writing and using functions in R, from basic syntax to advanced functional programming techniques. This course guides you through creating your own functions, leveraging anonymous functions, and applying functional programming concepts to solve real-world problems in R.

Master practical data science in R by learning data cleaning, modeling, evaluation, and machine learning workflows through hands-on code. Build fluency with R syntax, functions, and outputs for real-world data science tasks.

Learn how economists use R to analyze macroeconomic and market data, build econometric models, and interpret results for policy and market decisions. Focus on regression, time series, and forecasting using real economic datasets.