Statistics for Data Scientists
An Introduction to Probability, Statistics, and Data Analysis
Maurits Kaptein ; Edwin van den Heuvel
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. Les mer
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Paperback
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Paperback
Legg i
Vår pris:
540,-
(Paperback)
Fri frakt!
Leveringstid:
Sendes innen 7 virkedager
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.
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.
- FAKTA
-
Utgitt:
2022
Forlag: Springer Nature Switzerland AG
Innbinding: Paperback
Språk: Engelsk
Sider: 321
ISBN: 9783030105303
Format: 24 x 16 cm
- KATEGORIER:
- VURDERING
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Gi vurdering
Les vurderinger
1 A First Look at Data.- 2 Sampling Plans and Estimates.- 3 Probability Theory.- 4 Random Variables and Distributions.- 5
Estimation.- 6 Multiple Random Variables.- 7 Making Decisions in Uncertainty.- 8 Bayesian Statistics.
Prof. Dr. Maurits Kaptein works on statistical methods for sequential experimentation. He has extensive experience in research
and education in the fields of statistics, machine learning, and research methodology. Maurits works for the Jheronimus Academy
of Data Science and for the University of Tilburg. His work has been published in influential journals such as Bayesian Analysis
and the Journal of Interactive Marketing.
Prof. Dr. Edwin van den Heuvel works on statistical methods for analyzing cross-sectional and longitudinal data from experimental and observational studies in the domain of health and life sciences. He has been teaching many different topics on statistics to (PhD, master, and bachelor) students from different backgrounds (medicine, engineering, mathematics, etc.) He is full-time professor in statistics at Eindhoven University of Technology and has affiliations at other universities. He publishes mostly in peer-reviewed influential statistical, epidemiological, and medical journals.
Prof. Dr. Edwin van den Heuvel works on statistical methods for analyzing cross-sectional and longitudinal data from experimental and observational studies in the domain of health and life sciences. He has been teaching many different topics on statistics to (PhD, master, and bachelor) students from different backgrounds (medicine, engineering, mathematics, etc.) He is full-time professor in statistics at Eindhoven University of Technology and has affiliations at other universities. He publishes mostly in peer-reviewed influential statistical, epidemiological, and medical journals.