課程信息
2,334 次近期查看

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為9 小時

建議:2 hours/week...

英語(English)

字幕:格魯吉亞語, 愛沙尼亞語, 德語(German), 泰語, 英語(English), 日語, 尼泊爾語...

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

完成時間大約為9 小時

建議:2 hours/week...

英語(English)

字幕:格魯吉亞語, 愛沙尼亞語, 德語(German), 泰語, 英語(English), 日語, 尼泊爾語...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 21 分鐘

Obtain and Clean the Data

1 個視頻 (總計 1 分鐘), 2 個閱讀材料
1 個視頻
2 個閱讀材料
Introduction10分鐘
Module 1: Obtain and Clean the Data10分鐘
2
完成時間為 10 分鐘

Building Geoms

1 個閱讀材料
1 個閱讀材料
Module 2: Visualization Tools10分鐘
3
完成時間為 10 分鐘

Building a Leaflet Map

1 個閱讀材料
1 個閱讀材料
Module 3: Mapping Tools10分鐘
4
完成時間為 2 小時

Documentation and Packaging

2 個閱讀材料, 1 個測驗
2 個閱讀材料
Documentation and Packaging Tasks10分鐘
Testing10分鐘

講師

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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

關於 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....

關於 Mastering Software Development in R 專項課程

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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