Milan Radojičić is a highly skilled professional with a Ph.D. in computational statistics. He currently serves as a Assistant Professor at the Department of Operations Research and Statistics, Faculty of Organizational Science, University of Belgrade. Milan's research interests revolve around data analysis and applied statistics, particularly in the fields of business analytics and operational research. He has published more than 30 research and conference papers, demonstrating his expertise and contributions to the field. In addition to his academic pursuits, Milan has gained practical experience working as a data analyst. He holds a certificate to work with statistical software IBM SPSS. Milan's current research focus centers on leveraging computational statistics to address complex challenges in data analysis, with a particular emphasis on applications in business analytics. He is dedicated to developing novel approaches to extract valuable insights from large datasets, empowering organizations to make data-driven decisions, enhance operational efficiency, and gain a competitive edge.
Abstract
In today's data-driven business landscape, the ability to analyze and interpret data is indispensable for making informed decisions. This workshop is designed to equip participants with the necessary skills to leverage SPSS for statistical analysis in business contexts. SPSS, renowned for its user-friendly interface and powerful analytical capabilities, serves as an essential tool for professionals aiming to enhance their data analysis skills and apply them to real-world business challenges.
The workshop aims to demystify statistical analysis, emphasizing the practical use of SPSS in various business scenarios. It seeks to build a foundation upon which participants can develop advanced analytical skills, enabling them to contribute more effectively to data-driven decision-making processes. By the end of this workshop, participants will be able to: