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SAS for Finance

You're reading from SAS for Finance Forecasting and data analysis techniques with real-world examples to build powerful financial models

Product type Paperback

Published in May 2018

Publisher Packt

ISBN-13 9781788624565

Length 306 pages

Edition 1st Edition

Tools

SAS

Concepts

Data Analysis

Author (1):

Harish Gulati

View More author details

Table of Contents (9) Chapters

Preface

1. Time Series Modeling in the Financial Industry FREE CHAPTER

2. Forecasting Stock Prices and Portfolio Decisions using Time Series

3. Credit Risk Management

4. Budget and Demand Forecasting

5. Inflation Forecasting for Financial Planning

6. Managing Customer Loyalty Using Time Series Data

7. Transforming Time Series – Market Basket and Clustering

8. Other Books You May Enjoy

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Other Books You May Enjoy

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Big Data Analytics with SAS
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Configure a free version of SAS in order do hands-on exercises dealing with data management, analysis, and reporting.
Understand the basic concepts of the SAS language which consists of the data step (for data preparation) and procedures (or PROCs) for analysis.
Make use of the web browser based SAS Studio and iPython Jupyter Notebook interfaces for coding in the SAS, DS2, and FedSQL programming languages.
Understand how the DS2 programming language plays an important role in Big Data preparation and analysis using SAS
Integrate and work efficiently with Big Data platforms like Hadoop, SAP HANA, and cloud foundry based systems.

IBM SPSS Modeler Essentials
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ISBN: 978-1-78829-111...

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Authors (1)

Gulati

Gulati

Shekhar Gulati is a developer and OpenShift evangelist working with Red Hat. He has been evangelizing about OpenShift for the last 2 years. He regularly speaks at various conferences and user groups around the world to spread the goodness of OpenShift. He regularly blogs on the OpenShift official blog and has written more than 50 blogs on OpenShift. Shekhar has also written many technical articles for IBM developerWorks, Developer.com, and Javalobby.

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