Data Science MBA

Alex Coad ()

in Springer Texts in Business and Economics from Springer

Date: 2025
ISBN: 978-981-95-2433-4
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Chapters in this book:

Ch Chapter 1 Introduction and Definitions

Alex Coad

Ch Chapter 10 CART and Prediction

Alex Coad

Ch Chapter 11 Text as Data

Alex Coad

Ch Chapter 12 Causal Inference

Alex Coad

Ch Chapter 13 Concluding Remarks

Alex Coad

Ch Chapter 2 Digital Transformation of Organizations

Alex Coad

Ch Chapter 3 Big Data Technologies and Architecture

Alex Coad

Ch Chapter 4 Data Science in Organizations

Alex Coad

Ch Chapter 5 Statistical Associations Using Regression

Alex Coad

Ch Chapter 6 Ethics of Data Science and AI

Alex Coad

Ch Chapter 7 Working with Data

Alex Coad

Ch Chapter 8 The User Experience (UX)

Alex Coad

Ch Chapter 9 Data Visualization

Alex Coad

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sptbec:978-981-95-2433-4

Ordering information: This item can be ordered from
http://www.springer.com/9789819524334

DOI: 10.1007/978-981-95-2433-4

Access Statistics for this book

More books in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().