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学生对 约翰霍普金斯大学 提供的 Advanced Data Visualization with R 的评价和反馈

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47 个评分

课程概述

Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance. This course is the third in the Specialization "Data Visualization and Dashboarding in R." Learners come into this course with a foundation using R to make many basic kinds of visualization, primarily with the ggplot2 package. Accordingly, this course focuses on expanding the learners' inventory of data visualization options. Drawing on additional packages to supplement ggplot2, learners will made more variants of traditional figures, as well as venture into spatial data. The course ends make interactive and animated figures. To fill that need, this course is intended for learners who have little or no experience with R but who are looking for an introduction to this tool. By the end of this course, students will be able to import data into R, manipulate that data using tools from the popular tidyverse package, and make simple reports using R Markdown. The course is designed for students with good basic computing skills, but limited if any experience with programming....

热门审阅

JW

Aug 15, 2021

My skills have vastly improved in R with this specialization. I've utilized on multiple occasion the tasks here in my professional job.

KK

Jul 15, 2021

This course help me in doing my assignments with beautiful colors of graphs etc. I love it.

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1 - Advanced Data Visualization with R 的 15 个评论(共 15 个)

创建者 Karen K

Feb 26, 2021

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May 8, 2022

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Mar 8, 2021

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Feb 27, 2022

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May 19, 2021

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Aug 15, 2021

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May 4, 2021

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Mar 12, 2021