Leadership Challenges with Data Analytics

Introduction

Guide your organization in your transformation towards a data-driven company through a combination of in-class sessions, e-learning and team coaching on company

Artificial Intelligence will without any doubt change the way we will do business in future. As a matter of fact, it is already changing many businesses that we are involved in today. But what is needed to make Artificial Intelligence a valuable part of the way we do business ourselves? Many experts believe that successful Artificial Intelligence applications hinge on the so-called b-smact technologies (Blockchain, Social media, Mobile use, Analytics, Cloud and Things-on-the-internet or better known as IoT). The fuelling component of those technologies is Big Data.

Learning objectives

During this programme, you will:

• learn how to provide professionals engaged in data science and business analytics with academically sound and new ways to apply big data technologies 
• learn how to design and implement innovative and successful business applications
• explore business thinking, business-case creation, and investigating problems from a business angle
• acquire new knowledge and understanding of data science methodologies and techniques
• gain better mutual understanding by collaborating with data scientists or business analysts get access to a cross-industry learning platform to learn from experiences in other relevant industries
• broaden your understanding of privacy and security in order to provide solid data-driven business applications
• engage with senior executives and supervisors to facilitate implementation of business applications.

This is a programme of the Rotterdam School of Management, Erasmus University. For more information about the programme, visit our website: RSM.NL/LCBD