Opnå praktisk erfaring med dataanalyse i R ved at lære at rense, transformere og visualisere datasæt. Udforsk essentielle arbejdsgange såsom udvælgelse og filtrering af data, håndtering af manglende værdier og opsummering af resultater. Opbyg sikkerhed i at forberede data til indsigt, rapportering og dybere statistisk udforskning.

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

En praktisk introduktion til R-programmering tilpasset biologer og bioinformatikere. Lær at analysere, visualisere og fortolke biologiske data ved hjælp af R med virkelighedsnære eksempler fra genomik, økologi og eksperimentel biologi.

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.