About this training
Virtual Live Classroom*
- Duration : 48 hours
- 16 virtual sessions | 3hrs/session
- 70% hands-on practice/sessions | 30% theoretical background
- 2 world-class lecturers
- Specially designed e- learning platform for real time coding
- Certification of participation
Learning Objectives
The program seeks to marry business targets with advanced analytics/ML skills. Ιn particular, Scientific Engineer is based on the following ways:
1. Problem Solving with Data Science
2. Machine Learning
3. Deep Learning
4. NLP
5. Optimization/Managerial
The main target of the program is to prepare both practitioners and businesses effectively to create or to adopt the new business plans “imposed” by disruptive technologies, such as advanced analytics, machine/deep learning and Artificial Intelligence. The Scientific Engineer constitutes the natural development of the enhanced role of developers & data scientists, which are promoted to Business Intelligence Developers & Data Analysts respectively. In this way they can contribute to the design of new business plans, to the exploitation of business opportunities as well as to guide decision makers towards critical business decisions.