This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. To this end, the course aims to cover statistical ideas that apply to managers by discussing two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on interpreting the meaning of the results in a business and managerial setting.
Ce cours fait partie de la Spécialisation Économie managériale et analyse commerciale
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Compétences que vous acquerrez
Université de l'Illinois à Urbana-Champaign
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Meilleurs avis pour INFERENTIAL AND PREDICTIVE STATISTICS FOR BUSINESS
A very good course, well presented by the prof. Many examples with solutions in Excel that helped to make it clear.
Everyone should take this course! And you should also re-take it throughout your life. This knowledge is truly essential.
I started to enjoy the course once I started investing the correct amount of time and effort into on a daily basis.
Wonderful course! Thanks to Professor Taghaboni-Dutta, this course was educations, informative and easy to follow.
À propos du Spécialisation Économie managériale et analyse commerciale
In order to effectively manage and operate a business, managers and leaders need to understand the market characteristics and economic environment in which they operate. In this specialization, you will build a solid understanding of the operation of markets and the macro-economic environment with real-world examples. You will be able to identify firm and country-level economic factors that impact business decisions, develop an analytical framework using statistical tools, and apply economic theory and data in the analysis of business environment and trends to make effective business decisions.
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