课程信息
2,264 次近期查看

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为9 小时

建议:2 hours/week...

英语(English)

字幕:格鲁吉亚语, 爱沙尼亚语, 德语(German), 泰语, 英语(English), 日语, 尼泊尔语...

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

完成时间大约为9 小时

建议:2 hours/week...

英语(English)

字幕:格鲁吉亚语, 爱沙尼亚语, 德语(German), 泰语, 英语(English), 日语, 尼泊尔语...

学习Course的学生是

  • Data Scientists

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 21 分钟

Obtain and Clean the Data

1 个视频 (总计 1 分钟), 2 个阅读材料
1 个视频
2 个阅读材料
Introduction10分钟
Module 1: Obtain and Clean the Data10分钟
2
完成时间为 10 分钟

Building Geoms

1 个阅读材料
1 个阅读材料
Module 2: Visualization Tools10分钟
3
完成时间为 10 分钟

Building a Leaflet Map

1 个阅读材料
1 个阅读材料
Module 3: Mapping Tools10分钟
4
完成时间为 2 小时

Documentation and Packaging

2 个阅读材料, 1 个测验
2 个阅读材料
Documentation and Packaging Tasks10分钟
Testing10分钟

讲师

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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University

关于 约翰霍普金斯大学

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

关于 Mastering Software Development in R 专项课程

R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing and scaling useful data science results and products. This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers. This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts....
Mastering Software Development in R

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