R Programming Capstone
本課程是 Mastering Software Development in R 專項課程 專項課程的一部分
Mastering Software Development in R Capstone
4.3
（32 個評分）
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提供方
教學大綱 - 您將從這門課程中學到什麼
週
1完成時間為 21 分鐘
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 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
週
2完成時間為 10 分鐘
Building Geoms
Show us when earthquakes occurred in different countries, their magnitude, and their toll on human life.
1 個閱讀材料
1 個閱讀材料
Module 2: Visualization Tools10分鐘
週
3完成時間為 10 分鐘
Building a Leaflet Map
Show and annotate the earthquake epicenters.
1 個閱讀材料
1 個閱讀材料
Module 3: Mapping Tools10分鐘
週
4完成時間為 2 小時
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 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
Roger D. Peng, PhD
Associate Professor, BiostatisticsBloomberg School of Public Health
Brooke Anderson
Assistant Professor, Environmental & Radiological Health SciencesColorado 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
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 useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will 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.
常見問題
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