ReGeneration Academy for Digital Acceleration | Data Engineering Lab powered by TITAN

Description

The ReGeneration Academy for Digital Acceleration | Data Engineering Lab powered by TITAN is a new initiative within the framework of the ReGeneration Academy for Digital Acceleration powered by TITAN, a significant and longstanding collaboration of ReGeneration and TITAN, aimed at accelerating digital transformation in Greece.

This Academy is an intensive training program comprising of 100 training hours over 8 weeks. It targets young talents, graduates and postgraduates, aiming to upskill them in the design and efficient operation of infrastructure and database systems used for the management and analysis of large datasets.

Participants will have the opportunity to attend an intensive hands-on training program, where they will be exposed to basic and more advanced principles in Software Engineering Aspects, Data & Data Management Systems, Distributed and Big Data, Business Intelligence, Data Warehouses, Data Integration and Data Analysis. Specifically, they will learn about theoretical principles and best practices for data collection and storage, database creation and usage, as well as data extraction, transformation, and loading (Data Integration, ETL) into Data Warehouses. The program will also include practical training and extensive workshops using the SQL data management language, on Cloud Platforms (Microsoft Azure), along with the utilization of cloud applications such as Databricks and leveraging the data visualization tool Power BI.

Duration and Schedule

The program consists of 100 training hours over 8 weeks in online courses held in virtual classroom environment and online collaboration platforms.

Start Date: 29 April 2024
End Date: 21 June 2024

Detailed Schedule (*The Schedule is subject to adjustments)

Weekdays: Afternoon hours @18.00 – 21.15
Saturdays: Morning hours @10.00 – 15.00

Week 1 – (April) 29
Week 2 – (May) 08, 10
Week 3 – 13, 15, 17
Week 4 – 20, 24, 25
Week 5 – 27, 29, 31, (June) 1
Week 6 – 03, 05, 07, 08
Week 7 – 10, 12, 14, 15
Week 8 – 17
Project Presentations – Friday, 21 June

Key Objectives – Curriculum

Participants will have the opportunity to attend 100 hours of training over 8 weeks. Basic and more advanced principles will be studied spanning in the following thematic units:

• Software Engineering Aspects
• Data & Data Management Systems
• Distributed & Big Data
• Business Intelligence
• Data Warehouses
• Data Integration
• Data Analysis
• Cloud Platforms (Microsoft Azure)
• Data Intelligence Platforms (Databricks)
• Data Visualization (w/ Power BI)

Conditions for Participation

Graduates of Greek or foreign schools of higher education (AEI / TEI / College), in one of the following academic directions:

• Information Technology and Computer Science
• Electronic Engineering and Computer Engineering
• Mathematics & Statistics
• Applied Mathematics
• Postgraduate programs in fields related to data
• As well as Polytechnic Schools & Schools of Sciences, with data related studies

Additional Conditions:
Up to 29 years old, as the program is aimed at graduates at the beginning of their careers.

None or limited work experience:
0 to 3 years full time working experience, upon completion of studies.

Extracurricular activities:
Active involvement in extracurricular activities (eg volunteering, sports, entrepreneurship, art and any other non-academic activity).

Purpose

The aim of  the ReGeneration Academy for Digital Acceleration | Data Engineering Lab powered by TITAN is to equip specialized scientists in data management, with the necessary tools, technologies and techniques to thrive in the labor market, in the fields of Data Engineering and Business Intelligence.

The role of Data Engineers is essential in ensuring the effective utilization of information. Consequently, their profession has been ranked among the fastest-growing in recent years, with  cutting-edge companies consistently seeking Data Engineers to support their digital transformation.