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  1. Bog
  2. Matematik
  3. Sandsynlighedsregning og statistik

Applied Statistics with Python

- Volume I: Introductory Statistics and Regression
Af: Leon Kaganovskiy Engelsk Hardback

Applied Statistics with Python

- Volume I: Introductory Statistics and Regression
Af: Leon Kaganovskiy Engelsk Hardback
Tjek vores konkurrenters priser

Applied Statistics with Python concentrates on applied and computational aspects of statistics, focussing on conceptual understanding and Python-based calculations. Based on years of experience teaching introductory and intermediate Statistics at Touro College and Brooklyn College, this book compiles multiple aspects of applied statistics, teaching the reader useful skills in statistics and computational science with a focus on conceptual understanding. This book does not require previous experience with statistics and Python, explaining the basic concepts before developing them into more advanced methods from scratch. Applied Statistics with Python is intended for undergraduate students in business, economics, biology, social sciences, and natural science, whilst also being useful as a supplementary text for more advanced students.

Key Features:

  • Concentrates on more introductory topics such as descriptive statistics, probability, probability distributions, proportion and means hypothesis testing, as well as 1-variable regression.
  • The book’s computational (Python) approach allows us to study Statistics much more effectively. It removes the tedium of hand/calculator computations and enables one to study more advanced topics.
  • Standardized sklearn Python package gives efficient access to machine learning topics.
  • Randomized homework as well as exams are provided in my course shell on My Open Math web portal (free).
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Tjek vores konkurrenters priser
Normalpris
kr 907
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser

Applied Statistics with Python concentrates on applied and computational aspects of statistics, focussing on conceptual understanding and Python-based calculations. Based on years of experience teaching introductory and intermediate Statistics at Touro College and Brooklyn College, this book compiles multiple aspects of applied statistics, teaching the reader useful skills in statistics and computational science with a focus on conceptual understanding. This book does not require previous experience with statistics and Python, explaining the basic concepts before developing them into more advanced methods from scratch. Applied Statistics with Python is intended for undergraduate students in business, economics, biology, social sciences, and natural science, whilst also being useful as a supplementary text for more advanced students.

Key Features:

  • Concentrates on more introductory topics such as descriptive statistics, probability, probability distributions, proportion and means hypothesis testing, as well as 1-variable regression.
  • The book’s computational (Python) approach allows us to study Statistics much more effectively. It removes the tedium of hand/calculator computations and enables one to study more advanced topics.
  • Standardized sklearn Python package gives efficient access to machine learning topics.
  • Randomized homework as well as exams are provided in my course shell on My Open Math web portal (free).
Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 310
ISBN-13: 9781032751931
Indbinding: Hardback
Udgave:
ISBN-10: 1032751932
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 2 mar 2025
Længde: 24mm
Bredde: 242mm
Højde: 162mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 2 mar 2025
Forfatter(e): Leon Kaganovskiy
Forfatter(e) Leon Kaganovskiy

Kategori Sandsynlighedsregning og statistik

ISBN-13 9781032751931

Sprog Engelsk

Indbinding Hardback

Sider 310

Udgave

Længde 24mm

Bredde 242mm

Højde 162mm

Udg. Dato 2 mar 2025

Oplagsdato 2 mar 2025

Forlag Taylor & Francis Ltd

Kategori sammenhænge