courses
R에서 금융 데이터 가져오기와 관리
중급숙련도 수준
업데이트됨 2025. 6.RApplied Finance514 videos51 exercises4,300 XP20,722성과 증명서
수천 개의 회사에서 학습자들에게 사랑받는 제품입니다.
2명 이상을 교육하시나요?
DataCamp for Business 사용해 보세요강좌 설명
필수 조건
Manipulating Time Series Data in R1
Introduction and Downloading Data
A wealth of financial and economic data are available online. Learn how getSymbols() and Quandl() make it easy to access data from a variety of sources.
2
Extracting and Transforming Data
You've learned how to import data from online sources, now it's time to see how to extract columns from the imported data. After you've learned how to extract columns from a single object, you will explore how to import, transform, and extract data from multiple instruments.
3
Managing Data from Multiple Sources
Learn how to simplify and streamline your workflow by taking advantage of the ability to customize default arguments to getSymbols(). You will see how to customize defaults by data source, and then how to customize defaults by symbol. You will also learn how to handle problematic instrument symbols.
4
Aligning Data with Different Periodicities
You've learned how to import, extract, and transform data from multiple data sources. You often have to manipulate data from different sources in order to combine them into a single data set. First, you will learn how to convert sparse, irregular data into a regular series. Then you will review how to aggregate dense data to a lower frequency. Finally, you will learn how to handle issues with intra-day data.
5
Importing Text Data, and Adjusting for Corporate Actions
You've learned the core workflow of importing and manipulating financial data. Now you will see how to import data from text files of various formats. Then you will learn how to check data for weirdness and handle missing values. Finally, you will learn how to adjust stock prices for splits and dividends.