Produktbild: Fundamentals for Data Science, Vol. I
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Fundamentals for Data Science, Vol. I

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

28.10.2026

Abbildungen

XI, 270 p. 39 illus., 15 illus. in color.

Herausgeber

Bhargab Chattopadhyay + weitere

Verlag

Springer Singapore

Seitenzahl

270

Maße (L/B)

23,5/15,5 cm

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9573-69-1

Beschreibung

Portrait

Bhargab Chattopadhyay  is Associate Professor at the School of Management & Entrepreneurship, Indian Institute of Technology Jodhpur in the DTBI/Operations area. His research interests lie in the area of core set construction, sequential analysis, and inference. He has worked on several projects and is serving as the Associate Editor of the journal  Sequential Analysis .

Gaurangadeb Chattopadhyay  is Professor in the Department of Statistics at the University of Calcutta, India. He has several publications in journals like Statistics in Medicine,  Scandinavian Journal of Statistics ,  Statistical Papers , and others.

Tapabrata Maiti  is Professor and Graduate Director in the Department of Statistics & Probability at Michigan State University, USA. He has secondary appointment with the Department of Marketing, Eli Broad School of Business, and is co-director in the Center for Business and Social Analytics. He has several publications in journals like  Annals of Statistics ,  Journal of Royal Statistical Society Series B , Journal of the American Statistical Association  to name some, and is working on several projects funded by federal USA agencies like National Science Foundation (NSF) and National Institutes of Health (NIH).

Prasenjit Majumder is Visiting Faculty at The Chatterjee Group's Centres for Research and Education in Science and Technology (TCG CREST), Kolkata, India; and Professor at Dhirubhai Ambani University, Gandhinagar, India. He has worked on several projects funded by different government agencies. He has authored a monograph and edited two volumes.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

28.10.2026

Abbildungen

XI, 270 p. 39 illus., 15 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

270

Maße (L/B)

23,5/15,5 cm

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9573-69-1

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Fundamentals for Data Science, Vol. I
  • Chapter 1. Introduction to R (by Kaustav Banerjee, IIM Lucknow).- Chapter 2.  Introduction to Python (by Swarup Dey, Xoriant Solutions).- Chapter 3.  Probability (by Parthanil Roy, ISI Bangalore).- Chapter 4.  Probability Distributions (by Apratim Guha, XLRI Jamshedpur).- Chapter 5.  Linear Algebra (by Debjit Sengupta, Xavier’s University Kolkata).- Chapter 6.  Exploratory Data Analysis (by Soutir Bandyopadhyay, Colorado School of Mines).- Chapter 7.  Sampling Methods (by Bhargab Chattopadhyay, IIT Jodhpur).- Chapter 8.  Parametric Statistical Inference (by Aniket Biswas, Dibrugarh University).- Chapter 9.  Case Study on Nonparametric Testing titled “Computer Supplier Bilking the IT Department: An Example of Fleecing of State Fund” (by Nitis Mukhopadhyay, University of Connecticut).- Chapter 10.  Causal Inference (by Ambarish Chattopadhyay, Stanford University).- Chapter 11.  Regression Analysis (by Erina Paul, Merck & Co.).