000			01304nam a2200229 4500
005			20250713133833.0
008			250713b |||||||| |||| 00| 0 eng d
020			_a9781484281543
082			_a006.43 MAI _bMAI
100			_aMailund, Thomas
245			_aBeginning data science in R 4 _b: data analysis, visualization, and modeling for the data scientist
250			_a2nd ed.
260			_aNew York: _bApress Media, _c2022.
300			_axxviii, 511p.
500			_aIncludes index.
520			_aBeginning 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.
650			_aR (Computer program language)
650			_a Quantitative research
650			_a Computer software - Development
650			_aCOMPUTERS / Programming Languages
942			_2ddc _n0 _cC
999			_c30522 _d30522