Hanki vankka ymmärrys R:stä, yhdestä laajimmin käytetyistä kielistä data-analyysissä. Tutustu perusdatalajeihin ja yksiulotteisiin arvoihin, ja etene moniulotteisiin rakenteisiin, kuten matriiseihin, data frameihin ja listoihin. Kehitä taidot, joita tarvitaan R:n tehokkaaseen soveltamiseen tilastollisessa analyysissä ja dataohjautuvassa päätöksenteossa.

In the second part of R Introduction, you will learn about multi-dimensional built-in structures, such as matrices, data frames, and lists.

Hanki käytännön kokemusta datan analysoinnista R:llä oppimalla aineistojen puhdistamista, muokkaamista ja visualisointia. Tutustu keskeisiin työnkulkuihin, kuten datan valintaan ja suodattamiseen, puuttuvien arvojen käsittelyyn sekä tulosten tiivistämiseen. Vahvista osaamistasi datan valmistelussa oivalluksia, raportointia ja syvällisempää tilastollista tarkastelua varten.

This project settled for beginners to learn the very basic principles and concepts of Jupyter notebooks with R.

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R is one of the most popular programming languages among data analysts and data scientists. R has a wide community that will always help you with any problem. Also, R has tons of different packages designed to solve various problems. The language can be easily applied to statistics and data analytics problems. In the first part, you will be introduced to the very basics of R and will deal with single 1-D values of different types.

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 essential skills for ensuring data quality in R. Learn to detect and handle missing, duplicated, and inconsistent data, identify outliers, apply data validation rules, and build robust data cleaning pipelines. This course combines engaging theory with hands-on challenges to prepare you for real-world data cleaning tasks.

Master the essential data manipulation skills in R using dplyr, grouping and aggregation, and joining data frames. This course is designed for beginners and provides hands-on, real-world tasks to build your confidence in transforming and analyzing data for analytics.

Master the essential data manipulation skills in R using dplyr, grouping and aggregation, and joining data frames. This course is designed for beginners and provides hands-on, real-world tasks to build your confidence in transforming and analyzing data for analytics.

This beginner-level course introduces data visualization in R using the powerful ggplot2 package. Learn how to create, customize, and interpret a variety of charts and plots essential for effective data analysis. The course covers the fundamentals of ggplot2, guiding you through building basic plots, enhancing them with themes and annotations, and understanding how to choose the right visualizations for different data types.

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.

A beginner-friendly course designed to introduce you to the fundamentals of R programming. Learn the essential concepts, syntax, and techniques to start analyzing and visualizing data using R.

A comprehensive beginner-friendly course to master the fundamentals of R programming, focusing on data manipulation, analysis, and visualization.