Prisma Training Program
12 weeks remote squad training turns your talents into a productive and highly-efficient Data Science team
Becoming an AI-first company means to extend a data-driven
approach to all functions, connecting the analytical talent to business problems.

Breaking silos

Live, interactive, stimulating, dynamic. The Prisma training program is anything but a sterile on-line course.
Your data scientists team will embrace data exploration, agile development, and interdisciplinary teamwork and become the real assets that generate fast business value to your company.
FOCUS ON SKILLS INTEGRATION
Lack of cross-functional integration is one of the main reasons why data science project fails, yet classic training programs still focus on teaching individual techniques.
AGILE DATA TEAM
At Prisma we build the muscles and habits required to play as an Agile Data Science team and learn how to deliver true business value to your organization.
Training the squad


DEVOPS ENGINEER
Responsible for the system integration and maintenance tasks required to deploy the predictive models in a production environment
STORYTELLER
Responsible for creating compelling reports and visualizations to clearly communicate the results achieved by the team
BUSINESS ANALYST
Brings the necessary Domain Knowledge and guide the team towards a business oriented definition of success
ML ENGINEER
Applies advanced analytics techniques to extract insight from data and build predictive models to address the business problem tackled by the team
DATA ENGINEER
Responsible to guarantee access to quality data to address the specific business problem tackled by the team
The prism - originates from the latin word “prisma” - is the geometric figure able to decompose light, delivering a visible outcome.
It evokes a space where a substantial transformation occurs.
The Prisma Training Program is a place where data scientists teams acquire the core competencies required to solve business problems and deliver value to their companies.
The project development


week 1 - 2
week 3 - 4
week 5 - 6
week 7 - 8
week 9 - 10
week 11 - 12
Canvas
the Project
Acquire and wrangle data
Build the model
Document the project
Build scalable inference pipeline
Finalize the project