Essential Statistics for Data Science

A Concise Crash Course

Mu Zhu (Professor, Professor, University of Waterloo)

$133.95

Hardback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Oxford University Press
23 October 2023

Mathematics; Probability & statistics

Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or advanced undergraduate teaching in data science without knowing enough statistics. The three-part text starts from the basics of probability and random variables and guides readers towards relatively advanced topics in both frequentist and Bayesian approaches in a matter of weeks.

Part I, Talking Probability explains that the statistical approach to analysing data starts with a probability model to describe the data generating process. Part II, Doing Statistics explains that much of statistical inference is about learning unknown quantities in the model (e.g. its parameters) from the data it is presumed to have generated. Part III, Facing Uncertainty explains the importance of explicitly describing how much uncertainty we have about the model parameters, especially those with intrinsic scientific meaning, and of taking that into account when making decisions.

Essential Statistics for Data Science: A Concise Crash Course provides an in-depth introduction for beginners, while being more serious than a typical undergraduate text, but still lighter and more accessible than an average graduate text.

By: Mu Zhu (Professor Professor University of Waterloo)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Dimensions: Height: 240mm, Width: 160mm, Spine: 15mm
Weight: 446g
ISBN: 9780192867735
ISBN 10: 0192867733
Pages: 176
Publication Date: 23 October 2023
Audience: College/higher education , Primary
Format: Hardback
Publisher's Status: Active

Prologue I Talking Probability 1: Eminence of Models 1.A. For brave eyes only 2: Building Vocabulary 2.1: Probability 2.1.1 Basic rules 2.2: Conditional probability 2.2.1 Independence 2.2.2 Law of total probability 2.2.3 Bayes law 2.3: Random variables 2.3.1 Summation and integration 2.3.2 Expectations and variances 2.3.3 Two simple distributions 2.4: The bell curve 3: Gaining Fluency 3.1: Multiple random quantities 3.1.1 Higher-dimensional problems 3.2: Two

Mu Zhu is Professor in the Department of Statistics & Actuarial Science at the University of Waterloo, and Fellow of the American Statistical Association. He received his AB magna cum laude in applied mathematics from Harvard University, and his PhD in statistics from Stanford University. He is currently Director of the Graduate Data Science Program at Waterloo.