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
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
周
1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.
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
周
2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.
1 个阅读材料
1 个阅读材料
Module 2: Visualization Tools10分钟
周
3完成时间为 10 分钟
Building a Leaflet Map
Show and annotate the earthquake epicenters.
1 个阅读材料
1 个阅读材料
Module 3: Mapping Tools10分钟
周
4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.
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
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brooke Anderson
Assistant Professor, Environmental & Radiological Health SciencesColorado 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.
常见问题
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