If you enjoyed this book, you may be interested in these other books by Packt:

Big Data Analytics with SAS
David Pope

ISBN: 978-1-78829-090-6

• 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
Jesus Salcedo, Keith McCormick

ISBN: 978-1-78829-111-8

• Understand the basics of data mining and familiarize yourself with Modeler’s visual programming interface
• Import data into Modeler and learn how to properly declare metadata
• Obtain summary statistics and audit the quality of your data
• Prepare data for modeling by selecting and sorting cases, identifying and removing duplicates, combining data files, and modifying and creating fields
• Assess simple relationships using various statistical and graphing techniques
• Get an overview of the different types of models available in Modeler
• Build a decision tree model and assess its results
• Score new data and export predictions