Impact Academy

DASI. Data Arts and Science for Impact

Impact Academy

A school for filling the labour gap in Data Science and educate a generation of practitioners fully aware and able to rule the change.


Where Turin.
Cottino Social Impact Campus

When 7 September 2020 – 29 January 2021 (Mon-Fri 9-17)

Duration 5 months (full time)

Language italian-english

Fee 7,000€ + VAT
(early bird 6,500 € +VAT)

Key benefits

  • Guaranteed Job Placement

  • Access selection

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DASI. Data Arts and Science for Impact

Description

Within the next ten years, it is expected that technology will have a significant impact in every economic sector and in society through automation and services customization. In the core of this transformation there are data and the construction of data-centered solutions.

Data Arts and Science for Impact (DASI) is a School of learning aimed at filling the gap within the job market in Data Science and educate a generation of complete and aware practitioners able to master the change.

The program is designed together with the major Italian experts and it is thought to be able to give a complete and unique education by ensuring, during 5 five months, the development of structural hard skills, professional oriented towards the construction of data-centered solutions, and the development of necessary soft skills for personal and professional successes in this area. By the end of the course the participant will be able to follow and develop a Data Science project and find work as Data Scientist/Data Analyst/Data Engineer.

The course is composed by four streams:

  • Fundamentals: to deliver adequate competencies on database principles, software Programming and Machine Learning in R and Python languages.
  • System thinking: to understand the importance of model construction and use data in order to better comprehend the reality, sharing results and building data-centered solutions.
  • Capstone Projects: To apply the Agile method on real business cases in two sprint weeks. Working on more than one case ensures a strong flexibility and inclination to the application.
  • Creativity, Soft Skills and Well-being: To develop an approach oriented towards well-being and work life balance through innovative and modern techniques, in order to educate practitioners able to cope stress and resilient on work.

For whom

Recent graduates from every discipline with a good logical and mathematical aptitude interested in finding a job within the field of Data Science and in developing data-centered solutions, in every area.

Learning Journey With:

Why

The mismatch between the Italian educational system and the growing demand within the job market for figures with expertise in Data Science will result that in the next few years key positions in the field of Data Science will not be covered due to a lack of these professional figures, positions that require non only a good academic knowledge, but also the ability to apply to real cases.

Aims and methods

The course aims to give a complete and unique education by ensuring, during 5 five months, the development of structural hard skills, professional oriented towards the construction of data-centered solutions, and the development of necessary soft skills for personal and professional successes in this area. By the end of the course the participant will be able to follow and develop a Data Science project and find work as Data Scientist/Data Analyst/Data Engineer. The course mixes lectures from faculty, e-learning and peer learning self-study with constant tutoring, problem-based learning and challenge-based learning workshops starting from real cases.

Guaranteed Job Placement: By the end of the course participants will be tutored in the job-placement process, and to everyone is ensured an employment position.

Contents in a nutshell

  • Introduction to statistics
  • Learning to Learn & Self-study Enablement
  • Introduction to R and Python 
  • Core database concepts
  • Relational Database Support for Data Warehouses
  • Data Warehouse Concepts, Design, and Data Integration
  • Business Intelligence Concepts, Tools, and Applications
  • Machine Learning concepts (structured, unstructured)
  • Data Preparation in practice with Talend 
  • Machine Learning in practice with RapidMiner
  • Distributed database systems
  • NOSQL database systems
  • Big Data Tools
  • Data Management in the cloud
  • Data Visualization with Tableau
  • Marketing Analytics
  • Learning Analytics
  • Design Thinking
  • Data Ethics 
  • Neuroscience and Learning
  • Well Being Experiential Workshops

What Will I learn and what will I be able to do

  • Data Sciecne project management
  • Work placement prospects as Data Scientist/Data Analyst/Data Engineer.

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