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學生對 约翰霍普金斯大学 提供的 Wrangling Data in the Tidyverse 的評價和反饋

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26 個評分

課程概述

Data never arrive in the condition that you need them in order to do effective data analysis. Data need to be re-shaped, re-arranged, and re-formatted, so that they can be visualized or be inputted into a machine learning algorithm. This course addresses the problem of wrangling your data so that you can bring them under control and analyze them effectively. The key goal in data wrangling is transforming non-tidy data into tidy data. This course covers many of the critical details about handling tidy and non-tidy data in R such as converting from wide to long formats, manipulating tables with the dplyr package, understanding different R data types, processing text data with regular expressions, and conducting basic exploratory data analyses. Investing the time to learn these data wrangling techniques will make your analyses more efficient, more reproducible, and more understandable to your data science team. 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....

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AN

2022年4月18日

Great course to get yourself acquanted with data wrangling in Tidyverse.

LV

2021年4月24日

Excellent course! I've learned so many useful R techniques/codes!

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1 - Wrangling Data in the Tidyverse 的 8 個評論(共 8 個)

創建者 Glenn

2020年12月15日

創建者 Mercedes S

2020年12月30日

創建者 Alexander N

2022年4月19日

創建者 Long T V

2021年4月24日

創建者 Stefan M

2021年10月2日

創建者 Moses O

2020年12月9日

創建者 Adaman Y

2021年9月25日

創建者 Konstantinos L

2022年7月19日