Introduction to Data Science & Analytics foundation for the maritime sector

This course aims to provide basic knowledge and hand-on experience on Data Science & Analytics basis, methods, technologies, tools and best practices, which are considered as key factors in digital transformation for the enterprises of the future.

Specific objectives

Provide a general overview of the necessary competences and skills for data handling in the maritime sector. Reviewing the best practices in teaching Big Data technologies for Data Science & Analytics, discussion on specific tasks and requirements for maritime sector. Learning about new technologies and tools used for data collection & handling.

Target participants

Technicians and VET teachers/trainers interested in Big Data and Data Management best practices and applications for maritime and offshore energy sectors. MATES partners and MATES TG experts. Women will be prioritized.

Programme

Day one

Data Science & Analytics: principles, methods and approaches. CRISP-DM and organisation of data analytics process

Day two

Statistical analysis methods

Day three

Data preparation and pre-processing

Day four

Machine Learning & Classification techniques

Day five

Machine Learning & Cluster analysis

Course format

Each of 5 sessions will include lectures, practice and interactive discussions. Practice will include working with Data Analytics tools for data preparation, analysis and reporting, using provided datasets.

Online course has limited capacity: 30 attendees.

At registration, please indicate your prerequisite conditions. If registration numbers exceeds the maximum number of attendees, a waiting list will be created, Pre-requisite conditions may apply.