This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings. As the first course in the Specialization, the course provides the essential foundation of R needed for the following courses. We cover basic R concepts and language fundamentals, key concepts like tidy data and related "tidyverse" tools, processing and manipulation of complex and large datasets, handling textual data, and basic data science tasks. Upon completing this course, learners will have fluency at the R console and will be able to create tidy datasets from a wide range of possible data sources.
Ce cours fait partie de la Spécialisation Mastering Software Development in R
Offert par
Spécialisation Mastering Software Development in RUniversité Johns-HopkinsÀ propos de ce cours
Votre entreprise pourrait-elle bénéficier de la formation des employés à des compétences recherchées ?
Essayez Coursera pour les affairesCompétences que vous acquerrez
- Data Manipulation
- Regular Expression (REGEX)
- R Programming
- Rstudio
Votre entreprise pourrait-elle bénéficier de la formation des employés à des compétences recherchées ?
Essayez Coursera pour les affaires
Offert par
Programme de cours : ce que vous apprendrez dans ce cours
Basic R Language
Basic R Language: Lesson Choices
Data Manipulation
Data Manipulation: Lesson Choices
Text Processing, Regular Expression, & Physical Memory
Text Processing, Regular Expression, & Physical Memory: Lesson Choices
Large Datasets
Avis
- 5 stars59,49 %
- 4 stars25,08 %
- 3 stars7,49 %
- 2 stars3,22 %
- 1 star4,70 %
Meilleurs avis pour THE R PROGRAMMING ENVIRONMENT
Great Introduction, may we worth clarifying that for Data Manipulation the script must be saved before entering submit() as you cannot make progress.
Excellent class. I had already done a lot of the swirls and would have liked that to be in my record somewhere, although it really wasn't hard--and was probably good--to repeat them.
A thorough course that covers a lot of efficient data manipulation styles within the R environment. I learned a lot of neat tricks that help with quick analysis of large data frames.
The whole course was easy to follow except for the last questions of the last exam where the merged data set results into a null data frame after filtering.
À propos du Spécialisation Mastering Software Development in R
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
Une aide financière est-elle possible ?
D'autres questions ? Visitez le Centre d'Aide pour les Étudiants.
