Data Science - TechPro Academy

Data Science | Software Development

Information

Location: Androutsou 21, Thessaloniki, GR

Duration: 29 weeks, 6h/week (Oct 2025)

Full Price: 200€/month, discount based on the tech assessment results

Participants’ Total: 25

Scholarships: 2 Scholarships available based on the test-out assignment given upon completion of October 2025 Bootcamp

Seminar Language: Greek

Course Coordinators: Giorgos Kantasis, Dimitris Tragoudaras

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Timeline

Application Opens: 20 May

Bootcamp Starting Date: 1 October

Bootcamp Schedule: 3 days/week, 3h/day

Core Program Starting Date: November

Core Program: 2 days/week, 3h/day

Selection Criteria

Technical Proficiency (40%) – Strength of technical background and potential.

Motivation (40%) – Clear enthusiasm and alignment with the program’s employability goals.

Program Fit (20%) – Contribution to the diversity of perspectives in the program.

Data Science Program Expectations

High potential for employment through our hiring partners.

Hands-on Learning with real-world projects and simulation of working environments.

Portfolio Development.

Learn in-demand technologies.

Regular guidance from experienced instructors and industry mentors.

Course Description

A Hands-on Educational Program for Developers to Learn Data Science

Course Objectives

Teach core Data Science technologies

Provide real-world project experience & build your portfolio

Expand your career prospects

Get mentored by industry experts

Build connections within the Data Science Community

Application Process

Screening

One-One & Group Calls

Tech Assessment

Evaluation

Candidate Eligibility

University Graduate

Competency in English

Able to attend most of the classes delivered in-person

Scholarship Structure

Type: Single-tier scholarship

Curriculum

Bootcamp Phase

Week 1: Introduction to Git and IDEs

Session 1: Git and Code Editor Setup
Session 2: Advanced Git and GitHub
Session 3: Working with Git and GitHub

Week 2-3: Programming, Control Flow and Data Structures

Session 4: Basic Programming Concepts
Session 5: Control Flow
Session 6: Practice Control Flow
Session 7: Basic Data Structures
Session 8: Basic Algorithms
Session 9: Practice on Data Structure and Algorithms

Week 4: Project Management and Final Assessment

Session 10: Introduction to Project Management Tools
Session 11: Final Assessment
Session 12: Career-Stream Guidance

Semester A: November 2025 – March 2026 | Data Science and ML in Python

Weeks 1-5: Fundamentals of Python Programming and Statistics

Week 1: Introduction to Python and Basic Syntax

Week 2: Control Flow and Functions

Week 3: Data Structures in Python

Week 4-5: Introduction to Statistics

Weeks 6-10: Data Preparation and Pre-processing

Week 6: Data Handling with NumPy

Week 7: Data Manipulation with Pandas

Week 8: Advanced Pandas

Week 9-10: Data Cleaning and Pre-processing Strategies

Weeks 11-15: SQL and Data Visualization

Week 11: SQL Basics

Week 12: Advanced SQL

Week 13: Data Visualization with Python

Week 14-15: Data Visualization with PowerBI

Weeks 16-20: Machine Learning and AI with Python

Week 16: Introduction to Machine Learning

Week 17-18: Supervised Learning Algorithms

Week 19: Unsupervised Learning Algorithms

Week 20: Model Evaluation and Tuning

Semester B: April 26 – June 26 | Advanced Topics in Data Science – ML and AI

Week 21-22: Neural Networks

Week 23-24: Natural Language Processing (NLP)

Week 24-25: Support Vector Machines (SVM)

Week 25-26: Time-series Analysis

Week 27: Ensemble Methods

Week 28: XGBoost

Week 29: Large Language Models

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Data Science | Software Development

Data Science | Software Development

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