Getting data into your statistical analysis system can be one of the most challenging parts of any data science project. Data must be imported and harmonized into a coherent format before any insights can be obtained. You will learn how to get data into R from commonly used formats and harmonizing different kinds of datasets from different sources. If you work in an organization where different departments collect data using different systems and different storage formats, then this course will provide essential tools for bringing those datasets together and making sense of the wealth of information in your organization.
Ce cours fait partie de la Spécialisation Tidyverse Skills for Data Science in R
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À propos de ce cours
Familiarity with the R programming language
Ce que vous allez apprendre
Describe different data formats
Apply Tidyverse functions to import data into R from external formats
Obtain data from a web API
Familiarity with the R programming language
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Programme de cours : ce que vous apprendrez dans ce cours
Importing (and Exporting) Data in R
JSON, XML, and Databases
Web Scraping and APIs
Foreign Formats, Images, and googledrive
Case Studies
Project: Importing Data into R
Avis
- 5 stars73,68 %
- 4 stars21,05 %
- 3 stars5,26 %
Meilleurs avis pour IMPORTING DATA IN THE TIDYVERSE
Great for beginners. Clearly explained, and easy to follow.
Excellent tutorial for importing data into the tidyverse environment
Excellent. While there were no lectures, and it is possible to simply read the authors' book, having the quizzes makes the difference between just reading and actually learning. Thanks!
À propos du Spécialisation Tidyverse Skills for Data Science in R

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