Beginning data science in R 4 : data analysis, visualization, and modeling for the data scientist
Mailund, Thomas
Beginning data science in R 4 : data analysis, visualization, and modeling for the data scientist - 2nd ed. - New York: Apress Media, 2022. - xxviii, 511p.
Includes index.
Beginning Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this.
This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming.
9781484281543
R (Computer program language)
Quantitative research
Computer software - Development
COMPUTERS / Programming Languages
006.43 MAI / MAI
Beginning data science in R 4 : data analysis, visualization, and modeling for the data scientist - 2nd ed. - New York: Apress Media, 2022. - xxviii, 511p.
Includes index.
Beginning Data Science in R details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently structure and mine data to extract useful patterns and build mathematical models. This requires computational methods and programming, and R is an ideal programming language for this.
This book is based on a number of lecture notes for classes the author has taught on data science and statistical programming using the R programming language. Modern data analysis requires computational skills and usually a minimum of programming.
9781484281543
R (Computer program language)
Quantitative research
Computer software - Development
COMPUTERS / Programming Languages
006.43 MAI / MAI