课程概述
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.
热门审阅
Jan 28, 2021
Excellent tutorial for importing data into the tidyverse environment
Mar 27, 2021
Great for beginners. Clearly explained, and easy to follow.
筛选依据：
1 - Importing Data in the Tidyverse 的 6 个评论（共 6 个）
创建者 José T
•Nov 10, 2021
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
创建者 Fred C
•Jan 28, 2021
Excellent tutorial for importing data into the tidyverse environment
创建者 Vladimir M
•Mar 28, 2021
Great for beginners. Clearly explained, and easy to follow.
创建者 Stefan M
•Oct 2, 2021
Well presented course.
创建者 Olga L C
•Jan 15, 2021
Muy claro, sencillo y concreto el desarrollo de los temas. Muy interesante la evaluación final.
创建者 Adaman Y
•Sep 9, 2021
Cours très instructif et très à niveau.
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