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
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課程信息
100% 在線
立即開始，按照自己的計劃學習。
第 5 門課程（共 5 門）
可靈活調整截止日期
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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
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.
完成時間為 21 分鐘
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
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.
完成時間為 10 分鐘
1 個閱讀材料
1 個閱讀材料
Module 2: Visualization Tools10分鐘
完成時間為 10 分鐘
Building a Leaflet Map
Show and annotate the earthquake epicenters.
完成時間為 10 分鐘
1 個閱讀材料
1 個閱讀材料
Module 3: Mapping Tools10分鐘
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.
完成時間為 2 小時
2 個閱讀材料
2 個閱讀材料
Documentation and Packaging Tasks10分鐘
Testing10分鐘
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.
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