@article{1444244,
      recid = {1444244},
      author = {Kaptein, Maurits, and Heuvel, Edwin van den,},
      title = {Statistics for data scientists : an introduction to  probability, statistics, and data analysis /},
      pages = {1 online resource :},
      abstract = {This book provides an undergraduate introduction to  analysing data for data science, computer science, and  quantitative social science students. It uniquely combines  a hands-on approach to data analysis supported by numerous  real data examples and reusable [R] code with a rigorous  treatment of probability and statistical principles. Where  contemporary undergraduate textbooks in probability theory  or statistics often miss applications and an introductory  treatment of modern methods (bootstrapping, Bayes, etc.),  and where applied data analysis books often miss a rigorous  theoretical treatment, this book provides an accessible but  thorough introduction into data analysis, using statistical  methods combining the two viewpoints. The book further  focuses on methods for dealing with large data-sets and  streaming-data and hence provides a single-course  introduction of statistical methods for data science.},
      url = {http://library.usi.edu/record/1444244},
      doi = {https://doi.org/10.1007/978-3-030-10531-0},
}