Statistical Data Analysis is a very important field of data analytics. However, the reputable tools that facilitate people in perform such tasks are very few in number, and most of the time, the tools that are popular charge a subscription, making it even less accessible. But let's say that money is not a problem and you're an aspiring data analyst who wants to improve your skills using the popular IBM SPSS Statistics Client. Well, chances are that even if you have bought the subscription and downloaded the application, you still won't be able to get your head around to use the tool effectively, especially programming. When you look around the market for a good and comprehensive guide to help you master the IBM SPSS Statistics tool, then this book is definitely for you. Here are a few features of this book that you will find useful: •The concepts are kept simple, clear and to the point. •Heavy focus on using Python and R programming languages through the IBM SPSS Integration plug-in. •Practical demonstrations that implement the techniques and methods •A comprehensive and detailed explanation of nearly every block of code that is presented in the book. •A basic understanding of how Python and R programming languages work before implementing their respective functionality and features within the IBM SPSS program blocks. •Techniques and methods that have been known to puzzle users. •In addition, every topic discussed in this book has practical relevance. If you're looking for a hands-on, step by step guide that provides simple and effective strategies to help you master statistics using IBM SPSS, then you've found the right book.
