R Core Data Structures
90 LærendeKursus for Begynder Niveau
1 moduler
Interaktivt miljø
30 kapitler
AI Assistent
30 opgaver
Delbart CertifikatKursusindhold
Dit abonnement inkluderer også 500+ kurser:
R Introduktion
Få en solid forståelse af R, et af de mest udbredte sprog til dataanalyse. Udforsk grundlæggende datatyper og endimensionelle værdier, og gå derefter videre til multidimensionelle strukturer, herunder matricer, dataframes og lister. Opbyg de nødvendige færdigheder til effektiv anvendelse af R i statistisk analyse og datadrevne beslutningsprocesser.
Dataanalyse med R
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.
TEST R COURSE
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.
Control Flow in R
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.
Working with Data Structures in R
Master the essential data structures in R, including lists, data frames, and factors. Learn how to create, manipulate, and analyze data using R's powerful tools, with engaging explanations and real-world challenges designed for beginners.
R Introduction: Part II
In the second part of R Introduction, you will learn about multi-dimensional built-in structures, such as matrices, data frames, and lists.
Data Wrangling with Tidyverse in R
Master the essential data wrangling skills in R using the Tidyverse suite of packages. This course covers importing, cleaning, transforming, and summarizing data, empowering you to prepare datasets for analysis and visualization.
R Introduktion
Få en solid forståelse af R, et af de mest udbredte sprog til dataanalyse. Udforsk grundlæggende datatyper og endimensionelle værdier, og gå derefter videre til multidimensionelle strukturer, herunder matricer, dataframes og lister. Opbyg de nødvendige færdigheder til effektiv anvendelse af R i statistisk analyse og datadrevne beslutningsprocesser.
Dataanalyse med R
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.
TEST R COURSE
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.
Control Flow in R
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.
Working with Data Structures in R
Master the essential data structures in R, including lists, data frames, and factors. Learn how to create, manipulate, and analyze data using R's powerful tools, with engaging explanations and real-world challenges designed for beginners.
R Introduction: Part II
In the second part of R Introduction, you will learn about multi-dimensional built-in structures, such as matrices, data frames, and lists.
Data Wrangling with Tidyverse in R
Master the essential data wrangling skills in R using the Tidyverse suite of packages. This course covers importing, cleaning, transforming, and summarizing data, empowering you to prepare datasets for analysis and visualization.
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