With over 20 years of experience in this field, you have a solid understanding of the subject and, equally, of SPSS Statistics. Finally, SPSS Statistics provides a wealth of features for preparing and managing data so it is not necessary to master SQL or another database language to address data-related tasks. It also has a very comprehensive set of statistical capabilities so virtually everything a researcher would ever need is encompassed in a single application. SPSS Statistics has a very short learning curve which makes it ideal for analysts to use efficiently. What do you think are the 3 notable features of SPSS Statistics that make it stand apart from the other tools available out there? IBM SPSS Statistics is a popular tool for efficient statistical analysis. Data Analysis with IBM SPSS Statistics highlights various popular statistical techniques to the readers, and how to use them in order to gather useful hidden insights from their data.R and Python are not direct competitors to SPSS Statistics – instead, you can create customized solutions by integrating SPSS Statistics with these tools for effective analyses and visualization.handling missing data, choosing the best statistical method for analysis and understanding the results of the analysis SPSS Statistics helps you avoid the 3 most common pitfalls in data analysis, i.e.SPSS Statistics is a self-sufficient tool – it does not require you to have any knowledge of SQL or any other scripting language.IBM SPSS Statistics is a key offering of IBM Analytics – providing an integrated interface for statistical analysis on-premise and on the cloud.Kenneth and Anthony also walk us through their recently published book – Data Analysis with IBM SPSS Statistics – and tell us how it benefits aspiring data analysts and statistical researchers. In this interview, we take a look at the world of statistical data analysis and see how IBM SPSS Statistics makes it easier to derive business sense from data. Anthony received his BA and MA in Sociology with a specialization in Advanced Statistics from the University of Chicago and is on the Board of Directors of the Chicago Chapter of the American Statistical Association, where he has served in different positions including the President. Anthony has led a business development effort to find products implementing technologies such as CHAID decision trees and neural networks. BabinecĪnthony joined SPSS as a Statistician in 1978 after assisting Norman Nie, the founder of SPSS, at the University of Chicago. He received his PhD in Political Science from Northwestern University and currently teaches in the Masters of Science in Predictive Analytics program there. He has used SPSS extensively to analyze and discover valuable patterns that can be used to address pertinent business issues. Kenneth joined SPSS as Manager of Training in 1980 after using SPSS for his own research for several years. It offers them the perfect platform to quickly perform data exploration and analysis, and share their findings with ease. While there are tons of open source and enterprise tools for conducting data analysis, IBM SPSS Statistics has emerged as a popular tool among statistical analysts and researchers. It enables effective decision-making by addressing fundamental business questions based on the understanding of the available data. Data analysis plays a vital role in organizations today.
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