Education
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INVITED EDITOR
Editorial from
Nova SBE Data Science Knowledge Center
Data Science KC aims to advance knowledge about data-driven decision-making and its application in society. Our position in a school of business and economics, and our understanding of social sciences, technology, programming, and statistical methods, allow us to bridge the gap between organizations and technology that generates, processes and uses data for creating impact.
July 16, 2024
4. Quality education

4. Quality education

Ensure access to inclusive, quality and equitable education and promote lifelong learning opportunities for all.
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9. Industry, innovation and infrastructure

Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
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17. Partnerships for the goals

Strengthen the means of implementation and revitalize the Global Partnership for Sustainable Development
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New Intensive Training in Data Science, with Le Wagon

Nova SBE has launched its Data Science Bootcamp, an intensive training in Python for Data Science and advanced Machine Learning, in partnership with the world-leading coding bootcamp Le Wagon.

In an increasingly data-driven world, Le Wagon and Nova SBE are combining expertise to answer the rising demand for Data Scientists.

According to a report by the European Commission in 2017, the number of data workers in Europe would increase by up to 10.43 million, with a compound average growth rate of 14.1% by 2020. Nova SBE's Data Science Bootcamp, in partnership with Le Wagon, aims to bridge the gap between organizations and technology and prepare students for successful careers in data teams as junior data scientists, data analysts, or data engineers.

The busy curriculum includes Python programming language, SQL, Machine Learning, Deep Learning, Neural networks, Image Recognition, Data Engineering, tech Project Management, and other Artificial Intelligence implementations in business.

The training program is instructed by international data science professionals, former employees of Quora, Ele.me, and Airbnb.

Sebastian Saunier, ex-Google engineer, CTO and one of Le Wagon 3 co-founders
"We used the same model as our flagship product, with 20% theory and 80% practice on projects."

Lénia Mestrinho, Executive Director at Nova SBE Data Science Knowledge Center
"Le Wagon’s ability to design intensive, agile technical curriculums that have a practical approach, coupled with Nova SBE’s multidisciplinary mindset and leadership training will only strengthen our ability to support our students and Alumni in being fully equipped for the 21st-century job market."

Find more about the program's curriculum and requirements here.

Nova SBE Data Science Knowledge Center
Data Science KC aims to advance knowledge about data-driven decision-making and its application in society. Our position in a school of business and economics, and our understanding of social sciences, technology, programming, and statistical methods, allow us to bridge the gap between organizations and technology that generates, processes and uses data for creating impact.
LEARN MORE
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We all have a role to play

We are on a mission to be a community dedicated to the development of talent and knowledge that impacts the world.

With just ten years to go, an ambitious global effort is underway to deliver the 2030 promise. We want to take a stand and we are calling on our community to showcase how they are contributing to the 17 Sustainable Development Goals, whilst influencing more and more people to unravel their role to play.

Here, you will find four different ways your ideas can flourish, dialogue can be enhanced, and action can take place. You can choose one or all four, and Nova SBE will be there to support you all the way and guarantee tangible change.

We all have a role to play, and this is your way in.