Chevron Left
Retour à Importing Data in the Tidyverse

Avis et commentaires pour d'étudiants pour Importing Data in the Tidyverse par Université Johns-Hopkins

36 évaluations

À propos du cours

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. This course introduces the Tidyverse tools for importing data into R so that it can be prepared for analysis, visualization, and modeling. Common data formats are introduced, including delimited files, spreadsheets and relational databases, and techniques for obtaining data from the web are demonstrated, such as web scraping and web APIs. In this specialization we assume familiarity with the R programming language. If you are not yet familiar with R, we suggest you first complete R Programming before returning to complete this course....

Meilleurs avis


22 nov. 2022

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!


28 janv. 2021

Excellent tutorial for importing data into the tidyverse environment

Filtrer par :

1 - 9 sur 9 Avis pour Importing Data in the Tidyverse

par José T

10 nov. 2021

par Evan L

23 nov. 2022

par Fred C

28 janv. 2021

par Vladimir M

28 mars 2021

par Evandro C d A

30 mars 2022

par Stefan M

2 oct. 2021

par Konstantinos L

19 avr. 2022

par Olga L C

15 janv. 2021

par Adaman Y

9 sept. 2021