このコースについて

40,944 最近の表示

受講生の就業成果

30%

コース終了後に新しいキャリアをスタートした

29%

コースが具体的なキャリアアップにつながった
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。
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。
中級レベル
約18時間で修了
英語
字幕:英語, 中国語(簡体)

習得するスキル

Logic ProgrammingR ProgrammingObject-Oriented Programming (OOP)Functional Programming

受講生の就業成果

30%

コース終了後に新しいキャリアをスタートした

29%

コースが具体的なキャリアアップにつながった
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。
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。
中級レベル
約18時間で修了
英語
字幕:英語, 中国語(簡体)

提供:

ジョンズ・ホプキンズ大学(Johns Hopkins University) ロゴ

ジョンズ・ホプキンズ大学(Johns Hopkins University)

シラバス - 本コースの学習内容

コンテンツの評価Thumbs Up93%(2,788 件の評価)Info
1

1

8分で修了

Welcome to Advanced R Programming

8分で修了
1件のビデオ (合計1分), 3 readings
1件のビデオ
3件の学習用教材
Syllabus1 分
Course Textbook: Mastering Software Development in R1 分
swirl Assignments5 分
2時間で修了

Functions

2時間で修了
17 readings
17件の学習用教材
Control Structures Overview2 分
if-else10 分
for Loops10 分
Nested for loops10 分
next, break10 分
Summary2 分
Functions Overview2 分
Code10 分
Function interface10 分
Default values10 分
Re-factoring code10 分
Dependency Checking10 分
Vectorization10 分
Argument Checking10 分
R package10 分
When Should I Write a Function?10 分
Summary2 分
2時間で修了

Functions: Lesson Choices

2時間で修了
1の練習問題
Swirl Lesson1 時間
2

2

3時間で修了

Functional Programming

3時間で修了
19 readings
19件の学習用教材
What is Functional Programming?10 分
Core Functional Programming Functions10 分
Map10 分
Reduce10 分
Search10 分
Filter10 分
Compose10 分
Partial Application10 分
Side Effects10 分
Recursion10 分
Summary2 分
Expressions10 分
Environments10 分
Execution Environments10 分
What is an error?10 分
Generating Errors10 分
When to generate errors or warnings10 分
How should errors be handled?10 分
Summary2 分
3時間で修了

Functional Programming: Lesson Choices

3時間で修了
1の練習問題
Swirl Lesson1 時間 30 分
3

3

2時間で修了

Debugging and Profiling

2時間で修了
15 readings
15件の学習用教材
Debugging Overview2 分
traceback()10 分
Browsing a Function Environment10 分
Tracing Functions10 分
Using debug() and debugonce()10 分
recover()10 分
Final Thoughts on Debugging10 分
Summary2 分
Profiling Overview2 分
microbenchmark10 分
profvis10 分
Find out more10 分
Summary2 分
Non-standard evaluation10 分
Summary2 分
1の練習問題
Debugging and Profiling30 分
4

4

5時間で修了

Object-Oriented Programming

5時間で修了
11 readings
11件の学習用教材
OOP Overview2 分
Object Oriented Principles10 分
S310 分
S410 分
Reference Classes10 分
Summary2 分
Overview2 分
Reuse existing data structures10 分
Compose simple functions with the pipe10 分
Embrace functional programming10 分
Design for humans10 分

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Mastering Software Development in R専門講座について

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....
Mastering Software Development in R

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