DURATION
4 Semesters
LANGUAGES
Portuguese
PACE
Part time
APPLICATION DEADLINE
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EARLIEST START DATE
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STUDY FORMAT
Distance Learning
Key Summary
Scholarships
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Introduction
The Master Self-Service Analytics Applied to Marketing with the perspective of improving the reading of the business environment, the program is based on an approach that demands from the participants the elaboration and application of methodologies and strategic actions in the digital environment and in the strategic and relationship. In a collaborative environment, participants will plan actions and a course completion project, which will be developed throughout the program.
Ideal Students
for whom it is intended
- Business analyst from trainees to seniors and all professionals who want to master not only concepts, but market tools associated with them.
- Consultants and self-employed people who work in the area and who want to improve themselves to serve medium and large companies.
- Companies, advertising and communication agencies that really need to become Data Driven.
- Coordinators and Managers of various business segments.
alumni profile
Graduates of the Master in Self Service Analytics Applied to Marketing course are expected to have the following qualifications:
- Ability to specify the decision-making processes throughout the analytical journey, from capture and preparation, to the data visualization part.
- Architect and organize internal and external data and information to support operational, tactical, or strategic decision-making.
- Model complex problems related to marketing processes.
- Apply analytical intelligence and a holistic view of information processes and natures to support operational, tactical or strategic decision-making.
Admissions
Curriculum
what will you learn
Module I – From BI to Analytics
- Business Intelligence
- Data Architecture
- SQL notions
- Cloud Applied to Data
Module II - Self Service BI
- Introduction to Self Service BI
- Data Visualization
- Date Art
Module III – Data Preparation
- Data Modeling
- Data Preparation
Module IV - Analytics
- Predictive Analytics
- Auto Machine Learning
- Data Science Principles
- Course Completion Project*
*At the end of the course, students will present the course conclusion work (TCC) in person to a panel of professors. The presentation takes place at one of the ESPM units, in São Paulo, Rio de Janeiro or Porto Alegre.