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.