5 Good Reasons to attend the Data Science for Business Innovation Professional Course

Data Science is booming. According to IDC (International Data Corporation), the Global Datasphere will grow from 33 Zettabytes (ZB) in 2018 to 175 ZB by 2025.

But what does this mean for the company you work at or for your own business environment?

In today’s dynamic reality and digital society, knowing how to set up and deploy a data-driven strategy  is no longer just a smart approach, but a vital necessity. Companies that perceive reality starting from data and not from preconceptions are more open to change and evolution. Thus, learning to build a sustainable data science strategy properly is the 1st valid reason to attend the EIT Digital Professional School course, Data Science for Business Innovation. The course is mainly aimed at project managers, business developers, IT architects, and decision-makers.

There are at least 4 more reasons to upskill in data science and acquire more in-depth knowledge, as Professor Marco Brambilla, Politecnico di Milano and EIT Digital, explains:

Help your company stay competitive

Data is everywhere and growing. What happens to companies that are not able to collect data or ignore it? They become marginal. So, knowing the impact of data for your company, what data your company is already collecting, how to use it and what your competition is doing can help you stay competitive and ready to adapt.

Drive the agile business innovation

Data is of relevance for any business. It helps optimise business processes, build knowledge, improve customer experience, increase brand awareness, and meet the business objectives. With a clear data science strategy, you can respond quickly to changes in society, market, and clients. In addition, business goals defined with data science techniques will further foster agile business innovation.

Learn hands-on and test your knowledge

The Data Science for Business Innovation course tightly connects the business sides with the technological implications, explaining how companies can use technology to become data-driven. As a course participant, you will grasp the foundations of technical aspects such as machine learning, predictive analysis, or image recognition. You will work in groups on real cases, building a company process  based on business needs, and implement data-driven decisions.

Gain expertise from prestigious faculty and data research specialists

The course is taught by EIT Digital’s knowledge partner, Politecnico di Milano. The lecturers have a strong connection with the industry and lead  the ‘Data Science Lab’ of Politecnico di Milano, a research centre focused on data sciences projects with special attention to application-oriented problems.

Visit the course page Data Science for Business Innovation for more details on registration and course content.

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