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.
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ジョンズ・ホプキンズ大学（Johns Hopkins University）このコースについて
355,006 最近の表示
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共有できる証明書
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100%オンライン
自分のスケジュールですぐに学習を始めてください。
中級レベル
Familiarity with regression is recommended.
約57時間で修了
英語
字幕：アラビア語, フランス語, ポルトガル語（ヨーロッパ）, 中国語（簡体）, イタリア語, ポルトガル語（ブラジル）, ベトナム語, 韓国語, ドイツ語, ロシア語, 英語, スペイン語, 日本語
学習内容
Understand critical programming language concepts
Configure statistical programming software
Make use of R loop functions and debugging tools
Collect detailed information using R profiler
習得するスキル
- Data Analysis
- Debugging
- R Programming
- Rstudio
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
中級レベル
Familiarity with regression is recommended.
約57時間で修了
英語
字幕：アラビア語, フランス語, ポルトガル語（ヨーロッパ）, 中国語（簡体）, イタリア語, ポルトガル語（ブラジル）, ベトナム語, 韓国語, ドイツ語, ロシア語, 英語, スペイン語, 日本語
提供：
ジョンズ・ホプキンズ大学（Johns Hopkins University）
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.
シラバス - 本コースの学習内容
25時間で修了
Week 1: Background, Getting Started, and Nuts & Bolts
This week covers the basics to get you started up with R. The Background Materials lesson contains information about course mechanics and some videos on installing R. The Week 1 videos cover the history of R and S, go over the basic data types in R, and describe the functions for reading and writing data. I recommend that you watch the videos in the listed order, but watching the videos out of order isn't going to ruin the story.
25時間で修了
28件のビデオ （合計129分）, 9 学習用教材, 8 個のテスト
12時間で修了
Week 2: Programming with R
Welcome to Week 2 of R Programming. This week, we take the gloves off, and the lectures cover key topics like control structures and functions. We also introduce the first programming assignment for the course, which is due at the end of the week.
12時間で修了
13件のビデオ （合計91分）, 3 学習用教材, 5 個のテスト
9時間で修了
Week 3: Loop Functions and Debugging
We have now entered the third week of R Programming, which also marks the halfway point. The lectures this week cover loop functions and the debugging tools in R. These aspects of R make R useful for both interactive work and writing longer code, and so they are commonly used in practice.
9時間で修了
8件のビデオ （合計61分）, 2 学習用教材, 4 個のテスト
11時間で修了
Week 4: Simulation & Profiling
This week covers how to simulate data in R, which serves as the basis for doing simulation studies. We also cover the profiler in R which lets you collect detailed information on how your R functions are running and to identify bottlenecks that can be addressed. The profiler is a key tool in helping you optimize your programs. Finally, we cover the str function, which I personally believe is the most useful function in R.
11時間で修了
6件のビデオ （合計42分）, 4 学習用教材, 5 個のテスト
レビュー
- 5 stars68.15%
- 4 stars22.20%
- 3 stars5.81%
- 2 stars2.05%
- 1 star1.77%
Rプログラミング からの人気レビュー
YZにより2020年7月16日
This is course is probably my favorite out of the Data Science: Foundations using R specialization. There was plenty of opportunity to practice and further develop by burgeoning R programming skill.
CHにより2020年4月30日
I would have preferred the 'robot voice' concept from the toolbox course, since it could be updated to more recent R upgrades, but the assignments really made me think and that was my favorite part.
EJにより2016年7月11日
Excellent course! I already knew a lot about R - but this class helped me solidify what I already knew, taught me lots of new tricks, and now I have a certificate that says I know `something' about R!
JSにより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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