Hands-on data analysis in R for finance
著者
書誌事項
Hands-on data analysis in R for finance
Taylor and Francis, 2023
1 Edition
機械可読データファイル（リモートファイル）
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注記
Content Type: text (rdacontent), Media Type: computer (rdamedia), Carrier Type: online resource (rdacarrier)
Includes index
Summary: "The subject of this textbook is to act as an introduction to data science / data analysis applied to finance, using R and its most recent and freely available extension libraries. The targeted academic level is undergrad students with a major in data science and/or finance and graduate students, and of course practitioners /professionals who need a desk reference. Assumes no prior knowledge of R; The content has been tested in actual university classes; Makes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and more; Gives comprehensive and detailed explanations on how to use the most recent and free resources, such as financial and statistics libraries or open database on the internet"-- Provided by publisher
