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금융을 위한 R 입문
기초적인숙련도 수준
업데이트됨 2024. 5.RApplied Finance414 videos61 exercises5,200 XP84,977성과 증명서
수천 개의 회사에서 학습자들에게 사랑받는 제품입니다.
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DataCamp for Business 사용해 보세요강좌 설명
필수 조건
이 강좌에는 선수 과목이 없습니다.1
The Basics
Get comfortable with the very basics of R and learn how to use it as a calculator. Also, create your first variables in R and explore some of the base data types such as numerics and characters.
2
Vectors and Matrices
In this chapter, you will learn all about vectors and matrices using historical stock prices for companies like Apple and IBM. You will then be able to feel confident creating, naming, manipulating, and selecting from vectors and matrices.
3
Data Frames
Arguably the most important data structure in R, the data frame is what most of your data will take the form of. It combines the structure of a matrix with the flexibility of having different types of data in each column.
4
Factors
Questions with answers that fall into a limited number of categories can be classified as factors. In this chapter, you will use bond credit ratings to learn all about creating, ordering, and subsetting factors.
5
Lists
Wouldn't it be nice if there was a way to hold related vectors, matrices, or data frames together in R? In this final chapter, you will explore lists and many of their interesting features by building a small portfolio of stocks.