Statistical Methods for Data Science

Credits: 
2
Hours: 
20
Area: 
Big Data Mining
Teachers: 
Academic Year: 
2019-2020
2018-2019
Description: 

The module presents the basic methodologies, techniques and tools of statistical analysis for data science. This includes basic knowledge of probability theory, random variables, statistical models, estimation theory, hypothesis testing. bootstrap, and basic knowledge of time series analysis. The module shows the applicability in case studies in the domain of financial data science.

Notions: 

Statistical models for time series; Numerical libraries for statistical methods; Estimation theory; Teoria della probabilità.

 

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