This specialized Project Future – Data & Decision Sciences academy powered by Code.Hub, in exclusive collaboration with Athens Tech College, invites you to claim a paid, full-time job in the business world.
The Data & Decision Sciences Academy is an intensive hands-on training program on basic and advanced principles in Data & Data Management Systems, Big Data, Data integration, Data analysis, Data Visualization, Business Analytics (Descriptive, Predictive, Presciptive), Dashboards, Data Mining, Machine Learning and Artificial Intelligence using the Python programming language.
This specific program lasts 4 weeks and consists of 100 hours of lectures and hands-on exercise on real case studies and projects.
- Mondays to Fridays (17.30-21.30) *4h Lectures*
May – 4, 6, 8, 11, 13, 15
- Mondays to Fridays (16.00-21.30) *6h Lectures*
May – 5, 7, 12, 14, 20, 21, 26, 27, 28, 29
- Saturdays (10.00-18.00) *8h Lectures*
May – 9, 16
(*The schedule is subject to final changes)
Key Objectives – Curriculum
This program will present, explore and adequately cover the following areas:
- Data & Data Management Systems
- Big Data
- Data integration
- Data analysis
- Data Visualization
- Business Analytics (Descriptive, Predictive, Presciptive)
- Data Mining
- Machine Learning
- Artificial Intelligence
Conditions for participation:
Graduates of Greek or foreign higher education (ΑΕΙ / ΤΕΙ / College), on one of the following academic directions:
- Computer Science / Engineering / Programming
- Business administration
Up to 29 years old, as the program is aimed at graduates at the beginning of their careers.
Zero or limited work experience:
Work experience from 0 to 3 years full time, upon completion of studies.
Active involvement in extracurricular activities (eg volunteering, sports, entrepreneurship, art and any other non-academic activity).
The purpose of the Project Future – Data & Decision Sciences training powered by Code.Hub is to prepare competitive and specialized scientists in the fields of Data Science and Decision Making, providing them with a strong theoretical and applied background, and equipping them with the necessary tools to make them competitive in the job market to claim Consulting positions in the areas of Data Analysis, Data Science, Business Intelligence, Artificial Intelligence, Machine Learning, Data Mining and more.