PG-EDSA - Enterprise Data Science and Analytics Code: 4973-1-1 Year: 1 Degree course name: PG - Enterprise Data Science and Analytics Degree course acronym: PG-EDSA Degree course code: 4973 Weeks: 21/04/2025 Period Fall/Spring Year 2024/2025
Hours	Monday	Tuesday		Wednesday		Thursday		Friday	Saturday
18:30		18:30-20:30 Statistics for Enterprise Data Analysis [Room4 Executives (Almada Negreiros College)] TP1	18:30-20:30 Programming for Data Science [Room5 Executives (Almada Negreiros College)] TP3	18:30-20:30 Data Science and Machine Learning [Room4 Executives (Almada Negreiros College)] TP1	18:30-20:30 Programming for Data Science [Room5 Executives (Almada Negreiros College)] TP2	18:30-20:30 Data Science and Machine Learning [Room5 Executives (Almada Negreiros College)] TP2	18:30-20:30 Managing Relational and Non-Relational Data [Room 7 (Manuel Vilares Building)] TP3
19:00
19:30
20:00
20:30		20:30-22:30 Managing Relational and Non-Relational Data [Room4 Executives (Almada Negreiros College)] TP1	20:30-22:30 Statistics for Enterprise Data Analysis [Room5 Executives (Almada Negreiros College)] TP3	20:30-22:30 Programming for Data Science [Room4 Executives (Almada Negreiros College)] TP1	20:30-22:30 Statistics for Enterprise Data Analysis [Room5 Executives (Almada Negreiros College)] TP2	20:30-22:30 Managing Relational and Non-Relational Data [Room5 Executives (Almada Negreiros College)] TP2	20:30-22:30 Data Science and Machine Learning [Room 7 (Manuel Vilares Building)] TP3
21:00
21:30
22:00

Module		Academic staff member	Section
Name	Code	Acronym
Data Science and Machine Learning	400088	Ricardo Santos	TP1, TP2, TP3
		Roberto Henriques	TP1, TP2, TP3
		Tiago Martins	TP1, TP2, TP3
Managing Relational and Non-Relational Data	400084	André Ferreira	TP1, TP2, TP3
		António Azevedo	TP1, TP2, TP3
		João Loureiro	TP1, TP2, TP3
Programming for Data Science	400090	Flávio Pinheiro	TP1, TP2, TP3
		Vitor Manita	TP1, TP2, TP3
Statistics for Enterprise Data Analysis	400089	Maria Baptista	TP1, TP2, TP3

Print date: 02/12/2024 10:03:12
Observations: Green - Theoretical Classes ; Grey - Pratical Classes