Crash Course in Data Science for the Business User
By Tim Verdonck, Professor of Statistics and Data Science in the Department of Mathematics, University of Antwerp (Belgium)
Let's learn about the basic concepts of data science. This crash course kicks off by zooming out and reviewing various applications and the analytics process model. It then focuses on each of the steps in detail. Data pre-processing is extensively covered given its impact on subsequent analytical model development. We elaborate on predictive, descriptive and social network analytics and discuss various techniques together with their performance measurement from a business perspective.
Post processing of analytical models and a selection of management topics such as economic aspects, improving ROI, privacy and security are also reviewed. Throughout the course, some examples and small case studies are used for further clarification of the concepts introduced. Upon finishing this course, the participant will have sound knowledge of the key concepts, business applications, potential and challenges of data science.