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Data AnalyticsEstonia
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Modern analytics and artificial intelligence rely on robust data engineering foundations. From data collection to analytics-ready outputs, well-designed data platforms are essential for transforming raw data into actionable insights in real-world systems.
R is one of the leading languages for data analysis, statistics and data science, but many beginners find the first steps unnecessarily painful. This course gently guides participants over that initial hurdle. Through hands-on work in R and RStudio, we build up from the very basics to a modern, tidyverse-based workflow for data wrangling, visualisation and simple modelling.
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