Deze opleiding
Guide your organisation in your transformation towards a data-driven company through a combination of in-class sessions, e-learning and team coaching on company-specific use cases.
open_in_newstudy website
| locatieRotterdam |
| diplomacertificate |
| typeshort course, post-initieel |
| taalvoornamelijk English |
| opleidingsduur8 dagen voltijd |
Organisations increasingly use big data to reinvent their business. Big data brings disruption to industries and organisations and can revolutionise the way we do business. The eight-day programme Leadership Challenges with Big Data supports organisations in their transformation towards a data-driven company. It connects professionals in technical- and methodology-oriented data science with professionals engaged in business analytics, and links them to business' best practices with senior executive involvement.
The RSM Executive Education programme is developed and organised by the Erasmus Centre for Data Science and Business Analytics. The programme is taught at Erasmus University Rotterdam, the leading university in business and analytics in the Netherlands. Leadership Challenges with Big Data combines academic research-based insights with industry best practices.
The RSM Executive Education programme is developed and organised by the Erasmus Centre for Data Science and Business Analytics. The programme is taught at Erasmus University Rotterdam, the leading university in business and analytics in the Netherlands. Leadership Challenges with Big Data combines academic research-based insights with industry best practices.
Waarom aan de Erasmus University Rotterdam?
After this programme, you will be able to:
- provide professionals engaged in data science and business analytics with academically sound and new ways to apply big data technologies in order to design and implement innovative and successful business applications;
- improve the business skills of technically focused data scientists by exploring business thinking, business-case creation, and investigating problems from a business angle;
- improve the technical skills of business analysts as they acquire new knowledge and understanding of data science methodologies and techniques;
- increase collaboration between data scientists and business analysts by increasing mutual understanding;
- provide a cross-industry learning platform for professionals to learn from experiences in other relevant industries;
- broaden data scientists' and business analysts' understanding of privacy and security in order to provide solid data-driven business applications;
- engage participants with senior executives and supervisors to facilitate implementation of business applications.
Onderwijs
| taal van onderwijs | 99% en |
|---|---|
| avondonderwijs | n.v.t. |
| afstandsonderwijs | n.v.t. |
objectives
After participating in this programme, the participant will be able to:Understand the foundations for becoming a data-driven organization, as a basis for exploiting insights from analytics and AI.
Understand the data analytics lifecycle, from data exploration, data engineering, data analysis, data visualization up to presenting the insights.
Apply data technologies to design and implement innovative and value creating business and societal applications.
Improve both the business skills of t
Toelating en kosten
inbegrepen in collegegeld
| certificate |
| dinner |
| registration fee |
| lunch |
| study material |
