Project Future 12: Data Engineering & Business Intelligence
Description
The specialized training program Data Engineering & Business Intelligence powered by Code.Hub, in exclusive collaboration with Athens Tech College, invites you to claim a paid, full-time position in the business world.
This is an intensive 100-hour program that combines theoretical knowledge with hands-on, practice-oriented training, focusing on the use of cutting-edge tools, modern technologies, and techniques widely adopted in the data field. Participants will gain expertise in Relational Databases, Big Data, and modern programming languages for data processing and analysis, such as SQL, across both on-premises and cloud infrastructures.
Additionally, participants will be trained in key areas such as Data & Data Management Systems, Data Warehouses, Data Integration, Data Analysis, and Data Visualization. By the end of the program, they will be able to design, execute, and present data-driven analyses, supporting decision-making processes with the help of state-of-the-art visualization tools, such as Power BI.
Purpose
The purpose of this training is to prepare specialized professionals in the field of corporate data management, by providing exposure to technologies, techniques, and tools that will make them highly competitive in the job market. Graduates will be ready to pursue positions in Data Engineering, Business Intelligence, Data Analysis and Data Analytics. These roles are increasingly crucial for the effective production and utilization of information and are among the fastest-growing professions in recent years, with leading companies constantly hiring for such positions in order to optimize their operations and processes.
Duration & Schedule
This program lasts 10 calendar weeks (8 weeks with training and 2 weeks Christmas break) and consists of 100 hours of lectures and hands-on exercises on real case studies and projects via virtual classroom environment and online collaboration platforms.
Start Date: 24 November 2025
End Date: 30 January 2026
Detailed Schedule (*The Schedule is subject to adjustments)
| Introduction Day Monday 24, November 2025 |
Approximate (17.30-18.00) |
| Week 1 24, 26, 28 |
Weekdays – (18.00 – 21.15) |
| Week 2 1, 3, 5 (Dec.) |
Weekdays – (18.00 – 21.15) |
| Week 3 8, 10, 12 |
Weekdays – (18.00 – 21.15) |
| Week 4 15, 17, 19 |
Weekdays – (18.00 – 21.15) |
| Holiday Break From 23 Dec 2025 until 6 Jan 2026 |
No sessions |
| Week 5 7, 8, 9 (Jan.) |
Weekdays – (18.00 – 21.15) |
| Week 6 14, 15, 16 |
Weekdays – (18.00 – 21.15) |
| Week 7 21, 22, 23 |
Weekdays – (18.00 – 21.15) |
| Week 8 27, 28, 29 , 30 |
Weekdays – (18.00 – 21.15) |
| Presentations Day Friday 30, January 2026 |
Approximate (18.00 – 21.15) |
Key Objectives – Curriculum
This program will present, explore and cover with extended hands-on sessions & real-life case studies the following areas:
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- Data Engineering & Business Intelligence Concepts
- The role of a data engineer and BI analyst
- Overview of data lifecycle and pipelines
- Key concepts: Databases, Data Integration, Data Warehouses
- Tools & technologies overview (SQL, Azure, Power BI)
- Data Engineering & Business Intelligence Concepts
-
- Business Intelligence Tools
- What is BI and how it supports decision making
- Power BI environment
- Data visualization principles and best practices
- Business Intelligence Tools
-
- Data Sources & Relational Databases
- Introduction to relational databases
- SQL Server basics
- Writing SQL queries
- Data Sources & Relational Databases
-
- Data Modeling & Data Warehouse Design
- Star vs Snowflake schema
- Dimensional modeling
- Data normalization and denormalization
- Designing a data warehouse using tools
- Data Modeling & Data Warehouse Design
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- Data Transformation & Integration Basics
- Extract-Transform-Load Process & Tools
- Fundamentals of SQL Server Integration Services (SSIS)
- Data transformation principles and practices
- Data Transformation & Integration Basics
-
- Introduction to Microsoft Azure
- Azure fundamentals
- Azure Data Lake fundamentals
- Working with large datasets
- Introduction to Microsoft Azure
-
- Power BI – From Data to Dashboard
- Data loading and transformation in Power BI
- Creating relationships and models
- Building dashboards and sharing reports
- Power BI – From Data to Dashboard
- Final Project & Presentation
- Capstone project with real-world use case
- Design, build, deploy a solution
- Final deployment, showcase and open presentation with discussion
Conditions for participation:
Graduates of Greek or foreign schools of higher education (AEI / TEI / College), in any Academic direction.
Additional Conditions:
Up to 29 years old, as the program is aimed at graduates at the beginning of their careers.
Extracurricular activities:
Active involvement in extracurricular activities (e.g. volunteering, sports, entrepreneurship, art and any other non-academic activity).
