DATA SCIENCE AND MULTIVARIATE STATISTICS
Course objectives
Provide the theoretical foundations and essential tools of data science and exploratory statistical analysis. In particular: Knowledge and understanding Data science and exploratory statistical analysis; Data matrix and data pre-processing; Proximity matrix; Covariance matrix and correlation matrix; Cluster Analysis; Principal Components Analysis. Ability to apply knowledge and understanding Ability to choose and apply the statistical methodologies learned in the business and economic fields. Autonomy of judgement Independent ability to collect and process data and interpret results Communication skills Ability to clearly present the results of the statistical analyzes carried out Learning ability Ability to learn new statistical techniques independently
- Lesson code10606758
- Academic year2024/2025
- CourseEconomics and policies for global sustainability
- CurriculumSingle curriculum
- Year1st year
- Semester2nd semester
- SSDSECS-S/01
- CFU6
- Subject areaStatistico-matematico