In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.
提供方
约翰霍普金斯大学課程信息
322,498 次近期查看
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可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
中級
Familiarity with regression is recommended.
完成時間大約為57 小時
英語（English）
對員工進行熱門技能培訓能否為您的公司帶來益處？
體驗 Coursera 企業版您將學到的內容有
Understand critical programming language concepts
Configure statistical programming software
Make use of R loop functions and debugging tools
Collect detailed information using R profiler
您將獲得的技能
- Data Analysis
- Debugging
- R Programming
- Rstudio
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
中級
Familiarity with regression is recommended.
完成時間大約為57 小時
英語（English）
對員工進行熱門技能培訓能否為您的公司帶來益處？
體驗 Coursera 企業版
提供方
授課大綱 - 您將從這門課程中學到什麼
完成時間為 25 小時
Week 1: Background, Getting Started, and Nuts & Bolts
完成時間為 25 小時
28 個視頻 （總計 129 分鐘）, 9 個閱讀材料, 8 個測驗
完成時間為 12 小時
Week 2: Programming with R
完成時間為 12 小時
13 個視頻 （總計 91 分鐘）, 3 個閱讀材料, 5 個測驗
完成時間為 9 小時
Week 3: Loop Functions and Debugging
完成時間為 9 小時
8 個視頻 （總計 61 分鐘）, 2 個閱讀材料, 4 個測驗
完成時間為 11 小時
Week 4: Simulation & Profiling
完成時間為 11 小時
6 個視頻 （總計 42 分鐘）, 4 個閱讀材料, 5 個測驗
審閱
- 5 stars68.10%
- 4 stars22.15%
- 3 stars5.84%
- 2 stars2.06%
- 1 star1.82%
來自R 语言程序设计（中文版）的熱門評論
由 AK 提供2017年5月26日
This was very engaging, however, the level of expectation and effort needed is much greater than course 1 - ToolBox.
This is perhaps the best course on R Programming designed for a small duration.
由 SB 提供2016年4月27日
This course fully meets my expectations. It provides a concise starting point and even manages to introduce advanced concepts such as the 'apply' family. The final assignment is fully appropriate.
由 SS 提供2021年3月29日
Nice course but it would be better if more links to this course and exercises were added for students to be able to have more practices not only with swirl ( ) but also with trustable third parties.
由 JS 提供2019年9月8日
The course was a wonderful introduction to R, though I felt the programming projects were lacking a bit in terms of direction. Definitely go through the swirl exercises to help reinforce everything!
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