Dive deeper into SPSS Statistics for more efficient, accurate,
and sophisticated data analysis and visualization
SPSS Statistics for Data Analysis and Visualization goes
beyond the basics of SPSS Statistics to show you advanced
techniques that exploit the full capabilities of SPSS. The authors
explain when and why to use each technique, and then walk you
through the execution with a pragmatic, nuts and bolts example.
Coverage includes extensive, in-depth discussion of advanced
statistical techniques, data visualization, predictive analytics,
and SPSS programming, including automation and integration with
other languages like R and Python. You’ll learn the best methods to
power through an analysis, with more efficient, elegant, and
accurate code.
IBM SPSS Statistics is complex: true mastery requires a deep
understanding of statistical theory, the user interface, and
programming. Most users don’t encounter all of the methods SPSS
offers, leaving many little-known modules undiscovered. This book
walks you through tools you may have never noticed, and shows you
how they can be used to streamline your workflow and enable you to
produce more accurate results.
* Conduct a more efficient and accurate analysis
* Display complex relationships and create better
visualizations
* Model complex interactions and master predictive analytics
* Integrate R and Python with SPSS Statistics for more efficient,
more powerful code
These ‘hidden tools’ can help you produce charts that simply
wouldn’t be possible any other way, and the support for other
programming languages gives you better options for solving complex
problems. If you’re ready to take advantage of everything this
powerful software package has to offer, SPSS Statistics for Data
Analysis and Visualization is the expert-led training you
need.
A propos de l’auteur
KEITH MCCORMICK is a data mining consultant, trainer, and speaker. A passionate user of SPSS for 25 years, he has trained thousands on how to effectively use SPSS Statistics and SPSS Modeler. He blogs at keithmccormick.com. JESUS SALCEDO is an independent statistical consultant. He is a former SPSS Curriculum Team Lead and Senior Education Specialist who has written numerous SPSS training courses and trained thousands of users. JON PECK, now retired from IBM, was a senior engineer, statistician, and product strategist for SPSS and IBM for 32 years. He designed and contributed to many features of SPSS Statistics and has consulted with and trained many users. He remains active on social media. ANDREW WHEELER is a researcher in criminal justice and a former crime analyst. He has used SPSS for over 8 years, and often blogs SPSS tutorials at andrewpwheeler.wordpress.com.
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