Essays on Financial Analytics

Essays on Financial Analytics
Author :
Publisher : Springer Nature
Total Pages : 344
Release :
ISBN-10 : 9783031290503
ISBN-13 : 303129050X
Rating : 4/5 (03 Downloads)

Book Synopsis Essays on Financial Analytics by : Pascal Alphonse

Download or read book Essays on Financial Analytics written by Pascal Alphonse and published by Springer Nature. This book was released on with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Essays on Financial Analytics Related Books

Essays on Financial Analytics
Language: en
Pages: 344
Authors: Pascal Alphonse
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Business Analytics
Language: en
Pages:
Authors: Sanjiv Jaggia
Categories: Decision making
Type: BOOK - Published: 2023 - Publisher:

DOWNLOAD EBOOK

"We wrote Business Analytics: Communicating with Numbers from the ground up to prepare students to understand, manage, and visualize the data; apply the appropr
Encyclopedia of Business Analytics and Optimization
Language: en
Pages: 2862
Authors: Wang, John
Categories: Business & Economics
Type: BOOK - Published: 2014-02-28 - Publisher: IGI Global

DOWNLOAD EBOOK

As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus the
R for Business Analytics
Language: en
Pages: 320
Authors: A Ohri
Categories: Mathematics
Type: BOOK - Published: 2012-09-14 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and it
HBR Guide to Data Analytics Basics for Managers (HBR Guide Series)
Language: en
Pages: 169
Authors: Harvard Business Review
Categories: Business & Economics
Type: BOOK - Published: 2018-03-13 - Publisher: Harvard Business Press

DOWNLOAD EBOOK

Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease