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    Hands-On Data Analysis in R for Finance

Hands-On Data Analysis in R for Finance

Jean-Francois Collard
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      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 or professionals who need a desk reference.Assumes no prior knowledge of RThe content has been tested in actual university classesMakes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and moreGives 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
      Format: Hardback CONTRIBUTORS: Jean-Francois Collard EAN: 9781032340975 COUNTRY: United Kingdom PAGES: WEIGHT: 925 g HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2022-11-16 CITY: GENRE: BUSINESS & ECONOMICS / Finance / General, MATHEMATICS / Probability & Statistics / General WIDTH: 156 cm SPINE:

      Book Themes:

      Econometrics and economic statistics, Finance and accounting, Probability and statistics

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      Jean-Francois Collard holds a PhD in Computer Science from the University of Paris and a Habilitation from the University of Versailles, France. He was a scientist at the National Center for Scientific Research (CNRS) in Versailles then at HP Labs in Palo Alto, California, and an engineer at Intel in Santa Clara, California. He then had various quantitative roles at Citigroup, Santander and currently in the Investment Consulting Group of New York Life Investment Management. He is also an Adjunct Associate Professor at Baruch College in New York, USA.
      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 or professionals who need a desk reference.Assumes no prior knowledge of RThe content has been tested in actual university classesMakes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and moreGives 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
      Format: Hardback CONTRIBUTORS: Jean-Francois Collard EAN: 9781032340975 COUNTRY: United Kingdom PAGES: WEIGHT: 925 g HEIGHT: 234 cm
      PUBLISHED BY: Taylor & Francis Ltd DATE PUBLISHED: 2022-11-16 CITY: GENRE: BUSINESS & ECONOMICS / Finance / General, MATHEMATICS / Probability & Statistics / General WIDTH: 156 cm SPINE:

      Book Themes:

      Econometrics and economic statistics, Finance and accounting, Probability and statistics

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      Jean-Francois Collard holds a PhD in Computer Science from the University of Paris and a Habilitation from the University of Versailles, France. He was a scientist at the National Center for Scientific Research (CNRS) in Versailles then at HP Labs in Palo Alto, California, and an engineer at Intel in Santa Clara, California. He then had various quantitative roles at Citigroup, Santander and currently in the Investment Consulting Group of New York Life Investment Management. He is also an Adjunct Associate Professor at Baruch College in New York, USA.

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