Recalls of elements of statistics and linear algebra: vectors, matrices, relationships, operations, rank, determinant.
The exploratory analysis of information.
Review of univariate and bivariate statistics.
Multiple linear regression.
The analysis of groups.
The discriminating analysis.
Sales forecasting methods.
Statistical methods for marketing.
The conjoint analysis as a market research technique.
Overview of functional analysis. Application examples on google trends.
Notes on the analysis of social networks
The R environment.
The organization of data.
Exercises with the R software using business cases with real datasets.