Comprehensive Data Science Programs
Choose from structured learning paths designed to develop practical skills through hands-on projects and expert instruction.
Return Home
Our Educational Approach
Every program combines theoretical foundations with extensive practical application to build genuine competence.
Project-Based Learning
Work with real datasets from the first week. Each module includes hands-on labs where you apply new concepts immediately to actual problems.
Expert Mentorship
Learn from professionals currently working in data science roles who bring practical insights from their daily work.
Progressive Curriculum
Each course builds systematically on foundational knowledge, with clear learning paths from beginner to advanced topics.
Available Programs
Select the program that matches your current skills and career objectives.
Introduction to Data Science
Begin your data science journey with this thoughtfully structured program that bridges mathematical theory with practical application. You'll explore fundamental concepts including probability, statistics, and linear algebra while simultaneously learning Python programming essentials.
What You'll Learn
- Python programming fundamentals and development environments
- Statistical concepts and hypothesis testing
- Data manipulation with pandas and NumPy
- Visualization techniques using matplotlib and seaborn
- Basic predictive modeling and model evaluation
Learning Process
Weekly labs with real datasets from Finnish research institutions and businesses provide hands-on experience. Interactive notebooks, video lectures from industry practitioners, and collaborative problem-solving sessions with fellow learners create an engaging learning environment.
Duration
12 weeks
Time Commitment
8-10 hours/week
Investment
€1,150
Machine Learning Engineering
Advance your technical capabilities with this rigorous exploration of machine learning algorithms and their practical implementation. The curriculum covers supervised and unsupervised learning techniques, deep learning fundamentals, and model deployment strategies.
What You'll Learn
- Supervised learning algorithms including regression and classification
- Unsupervised techniques for clustering and dimensionality reduction
- Neural networks and deep learning architectures
- Feature engineering and model optimization techniques
- Model deployment and production monitoring
Learning Process
Work extensively with TensorFlow and scikit-learn, building models that solve real business problems from customer segmentation to predictive maintenance. Team projects provide experience with the full machine learning lifecycle from problem formulation through production deployment.
Duration
16 weeks
Time Commitment
12-15 hours/week
Investment
€1,890
Data Science Professional Track
This comprehensive professional development program transforms analytical enthusiasts into industry-ready data scientists through intensive, mentor-guided learning. The curriculum integrates advanced statistical methods, cutting-edge machine learning techniques, and essential soft skills for effective collaboration with business stakeholders.
What You'll Learn
- Advanced statistical modeling and experimental design
- Specialized tracks in computer vision, NLP, or time series
- Full data science stack including SQL, Python, R, and cloud platforms
- Communication and stakeholder management skills
- Portfolio development and career preparation
Learning Process
Multiple industry partnerships provide real project experience from healthcare analytics to financial modeling. Career services include resume optimization, interview preparation with actual hiring managers, and direct introductions to recruiting partners.
Duration
24 weeks
Time Commitment
20-25 hours/week
Investment
€3,450
Program Comparison
Compare key features to determine which program aligns with your goals and current skill level.
| Feature | Introduction | Machine Learning | Professional Track |
|---|---|---|---|
| Prerequisites | Basic math | Python skills | Foundation knowledge |
| Program Duration | 12 weeks | 16 weeks | 24 weeks |
| Weekly Time | 8-10 hours | 12-15 hours | 20-25 hours |
| Hands-On Projects | |||
| Industry Projects | |||
| Mentorship | Group sessions | Individual + Group | Dedicated mentor |
| Career Support | Basic guidance | ||
| Specialization Tracks | |||
| Investment | €1,150 | €1,890 | €3,450 |
Choosing the Right Program
Choose Introduction if:
- • You're new to programming
- • You want to explore data science
- • You prefer a manageable time commitment
- • You need foundational skills first
Choose Machine Learning if:
- • You know Python basics
- • You want to build ML models
- • You're ready for technical depth
- • You have 12-15 hours weekly
Choose Professional Track if:
- • You're committed to career change
- • You want comprehensive preparation
- • You need career support services
- • You can dedicate 20-25 hours weekly
Educational Standards Across All Programs
Every course maintains consistent quality standards and pedagogical approaches.
Current Content
Course materials are reviewed quarterly and updated to reflect evolving best practices in data science methodology and tools.
Real Datasets
All programs use actual data from Finnish organizations across multiple sectors, not sanitized examples or toy datasets.
Code Review Process
Instructors provide detailed feedback on your code, helping you develop professional programming practices and debugging skills.
Data Privacy Focus
Every program includes training on GDPR compliance, anonymization techniques, and ethical data handling practices.
Iterative Development
Learn through multiple project iterations, receiving feedback and improving your work just as you would in professional settings.
Communication Skills
Practice explaining technical concepts to non-technical audiences through presentations and written documentation.
Ready to Begin Your Learning Journey?
Connect with us to discuss which program fits your background and goals. We're here to help you make an informed decision.