Libro adottato a Brescia, a.a. 2026/2027 · 4 canali
«Cornwell – Social sequence analysis» è adottato per Data Analysis And Big Data Lab dal prof. Enrico Ripamonti (Banca e Finanza – sede di Brescia, Business and Economics – sede di Brescia, Economia e Analisi dei Dati – sede di Brescia e altri corsi – Brescia).
Cornwell – Social sequence analysisquesto libroVai su Amazon ›Il prof non ha cambiato il libro dall'anno scorsoVerificato sulla scheda ufficiale il 02/10/2026
Argomenti del programma: Classes mainly consists of laboratory and hands-on activities, with a theoretical introduction, aimed to strengthen the students’ abilities in the field of computational statistics and data analytics. The course is composed of two main didactic units: (1) Fundamentals of data analytics for business and economics (40h); (2) An overview on some advanced techniques and contemporary debates (20h).
Argomenti del programma: Classes mainly consists of laboratory and hands-on activities, with a theoretical introduction, aimed to strengthen the students’ abilities in the field of computational statistics and data analytics. The course is composed of two main didactic units: (1) Fundamentals of data analytics for business and economics (40h); (2) An overview on some advanced techniques and contemporary debates (20h).
Cornwell – Social sequence analysisquesto libroVai su Amazon ›Il prof non ha cambiato il libro dall'anno scorsoVerificato sulla scheda ufficiale il 02/10/2026
Argomenti del programma: Classes mainly consists of laboratory and hands-on activities, with a theoretical introduction, aimed to strengthen the students’ abilities in the field of computational statistics and data analytics. The course is composed of two main didactic units: (1) Fundamentals of data analytics for business and economics (40h); (2) An overview on some advanced techniques and contemporary debates (20h).
Cornwell – Social sequence analysisquesto libroVai su Amazon ›Il prof non ha cambiato il libro dall'anno scorsoVerificato sulla scheda ufficiale il 02/10/2026
Argomenti del programma: Classes mainly consists of laboratory and hands-on activities, with a theoretical introduction, aimed to strengthen the students’ abilities in the field of computational statistics and data analytics. The course is composed of two main didactic units: (1) Fundamentals of data analytics for business and economics (40h); (2) An overview on some advanced techniques and contemporary debates (20h).