DATAMINING
Année du cours : 1 année(s)
Etablissement : IÉSEG School of Management
Langue : English
Formation(s) dans laquelle/lesquelles le cours apparait :
Période : S2
Thi course has two important prerequisite:
– Student have complete the Data Camp course Introduction to R before the start of the course, and show the obtained certificate to the professor (failing to obtain this certificate before the start of the course will imply a zero grade in the Individual Assignment).
– Students are expected to have completed a basic course in Statistics and/or Data Analysis.
1) Understanding the main methodologies for data analysis.
2) Understanding the idea of statistical modeling to assess business decisions.
3) Selecting among datamining techniques to estimate the impact of business strategies.
This is a course in datamining, whose main content is the statistical modelling and analysis applied to business data. The couse is designed to enable students to correctly assess business strategies, based on the use of statistical methods, supporting decision makers to select the optimal strategy under a variety of market conditions. In particular, the course introduces the students to data selection, inferential statistics, regression analysis and cluster analysis, which allow estimating the impact of business strategies on sales and forecasting the impact of future strategies. Statistical software, such as R, SAS and Excel, are used to study empirical cases.
