Contains modern statistical methods including Bayesian ision theory, equivalence testing and statistical modelling It uniquely combines a hands-on approach to data analysissupported by numerous real data examples and reusable [R] codewith a rigorous treatment of probability and statistical principles 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. Statistics for data scientists: an introduction to probability, statistics, and data analysis. Table of ContentsA First Look at DataSampling Plans and EstimatesProbability Theory Introduces statistical inference in a natural way, using finite samples and real data. Statistics is a science that is concerned with principles, methods, and techniques for collecting, processing, analyzing, presenting, and interpreting (numerical) data Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis is written by Maurits Kaptein; Edwin van den Heuvel and published by Springer. Digital text file; PDF Publication Statistics for data scientists: an introduction to probability, statistics, and data analysis [by Kaptein, M.] Other Related Resources: Print version: Statistics for data scientists [by Abstract. The Maurits Clemens Kaptein Scientist & Entrepreneur ArchipelstraatLK Nijmegen, the Netherlands j j j j j + maurits@ epted at Provides an accessible introduction to applied statistics by combining hands-on exercises with mathematical theory. Responsibility Maurits Kaptein, Edwin van den Heuvel.
Contains modern statistical methods including Bayesian ision theory, equivalence testing and statistical modelling It uniquely combines a hands-on approach to data analysissupported by numerous real data examples and reusable [R] codewith a rigorous treatment of probability and statistical principles 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. Statistics for data scientists: an introduction to probability, statistics, and data analysis. Table of ContentsA First Look at DataSampling Plans and EstimatesProbability Theory Introduces statistical inference in a natural way, using finite samples and real data. Statistics is a science that is concerned with principles, methods, and techniques for collecting, processing, analyzing, presenting, and interpreting (numerical) data Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis is written by Maurits Kaptein; Edwin van den Heuvel and published by Springer. Digital text file; PDF Publication Statistics for data scientists: an introduction to probability, statistics, and data analysis [by Kaptein, M.] Other Related Resources: Print version: Statistics for data scientists [by Abstract. The Maurits Clemens Kaptein Scientist & Entrepreneur ArchipelstraatLK Nijmegen, the Netherlands j j j j j + maurits@ epted at Provides an accessible introduction to applied statistics by combining hands-on exercises with mathematical theory. Responsibility Maurits Kaptein, Edwin van den Heuvel.
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