課程概述
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.
熱門審閱
2021年1月28日
Excellent tutorial for importing data into the tidyverse environment
2021年3月27日
Great for beginners. Clearly explained, and easy to follow.
篩選依據：
1 - Importing Data in the Tidyverse 的 6 個評論（共 6 個）
創建者 José T
•2021年11月10日
Very thorough. A lot of useful content with a couple of level of deepness for if you want to get started, become an expert, or having a guide to back for reference in the future. The final lab was very challenging
創建者 Fred C
•2021年1月28日
Excellent tutorial for importing data into the tidyverse environment
創建者 Vladimir M
•2021年3月28日
Great for beginners. Clearly explained, and easy to follow.
創建者 Stefan M
•2021年10月2日
Well presented course.
創建者 Olga L C
•2021年1月15日
Muy claro, sencillo y concreto el desarrollo de los temas. Muy interesante la evaluación final.
創建者 Adaman Y
•2021年9月9日
Cours très instructif et très à niveau.
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