Laboratory "data Solutions for Marketing"
A.Y. 2022/2023
Learning objectives
Partner company: Intarget Group
This Lab is provided within the Data Science for Economics (DSE) degree program.
A small number of students can be admitted due to logistics constraints.
The students (either DSE or non-DSE) must apply for admission. Candidates will be selected by the involved institutions/companies according to CV and motivations.
For application, students must respond to a call that is posted on this website: https://dse.cdl.unimi.it/en/courses/laboratories
The call is typically published a few weeks before the Lab starts.
Understanding the fundamentals of marketing with focus on digital knowledge and application of the main ML/AI solutions to analyze and modelling marketing data understanding the teamwork in data science applied to marketinglearning presentation of data projects in marketing
This Lab is provided within the Data Science for Economics (DSE) degree program.
A small number of students can be admitted due to logistics constraints.
The students (either DSE or non-DSE) must apply for admission. Candidates will be selected by the involved institutions/companies according to CV and motivations.
For application, students must respond to a call that is posted on this website: https://dse.cdl.unimi.it/en/courses/laboratories
The call is typically published a few weeks before the Lab starts.
Understanding the fundamentals of marketing with focus on digital knowledge and application of the main ML/AI solutions to analyze and modelling marketing data understanding the teamwork in data science applied to marketinglearning presentation of data projects in marketing
Expected learning outcomes
The attendees to the lab are expected to
1. understand the main issues in data analysis for marketing
2. handle the main models that can be applied in marketing analysis
3. experience the full process of analysis, from data preparation (acquisition and cleaning) to data presentation, in a teamwork
1. understand the main issues in data analysis for marketing
2. handle the main models that can be applied in marketing analysis
3. experience the full process of analysis, from data preparation (acquisition and cleaning) to data presentation, in a teamwork
Lesson period: Third trimester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Responsible
Lesson period
Third trimester
INF/01 - INFORMATICS
SECS-S/01 - STATISTICS
SECS-S/01 - STATISTICS
Laboratory activity: 20 hours