Statistics for Data Scientists: An Introduction to Probability, Statistics, and Data Analysis - Paperback
$54.99
Quantity
01
Pay over time for orders over $35.00 with
Offers & Perks
Earn 54 points with this purchase
Added to your rewards balance after checkout.
100 points welcome bonus
Create an account and start with extra points.
Availability:In StockContributor:Maurits Kaptein, Edwin van den HeuvelSeries:Undergraduate Topics in Computer SciencePublish date:2022-02-03Pages:321
Languages:EnglishPublisher:SpringerISBN-13:9783030105303ISBN-10:303010530XUPC:9783030105303Book Category:Computers, MathematicsBook Subcategory:Mathematical & Statistical Software, Probability & Statistics, Computer ScienceSize:9.21 x 6.14 x 0.72 inchesWeight:1.07Product ID:SCR65ZX690
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.Languages:EnglishPublisher:SpringerISBN-13:9783030105303ISBN-10:303010530XUPC:9783030105303Book Category:Computers, MathematicsBook Subcategory:Mathematical & Statistical Software, Probability & Statistics, Computer ScienceSize:9.21 x 6.14 x 0.72 inchesWeight:1.07Product ID:SCR65ZX690
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.
Publisher: Springer
Edition
2021 Edition
Contributor(s)
Authors
Free shipping on orders over $75. Standard shipping takes 3-7 business days. Eligible items may be returned within 30 days of delivery. Conditions apply.