R Programming Capstone
本课程是 Mastering Software Development in R 专项课程 专项课程的一部分
Mastering Software Development in R Capstone
提供方
课程信息
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 5 门课程（共 5 门）
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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
提供方
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.
教学大纲 - 您将从这门课程中学到什么
完成时间为 21 分钟
Obtain and Clean the Data
The overall goal of the capstone project is to integrate the skills you have developed over the courses in this Specialization and to build a software package that can be used to work with the NOAA Significant Earthquakes dataset.
完成时间为 21 分钟
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
完成时间为 10 分钟
Building Geoms
Show us when earthquakes occurred in different countries, their magnitude, and their toll on human life.
完成时间为 10 分钟
1 个阅读材料
1 个阅读材料
Module 2: Visualization Tools10分钟
完成时间为 10 分钟
Building a Leaflet Map
Show and annotate the earthquake epicenters.
完成时间为 10 分钟
1 个阅读材料
1 个阅读材料
Module 3: Mapping Tools10分钟
完成时间为 2 小时
Documentation and Packaging
Documentation is one of the most important and most commonly overlooked steps when writing software, but you're not going to let that happen in your project.
完成时间为 2 小时
2 个阅读材料
2 个阅读材料
Documentation and Packaging Tasks10分钟
Testing10分钟
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.
常见问题
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