Master Data Science Through Advanced Training

Transform your career with comprehensive data science education. Our structured learning paths take you from fundamentals to enterprise-level expertise through hands-on projects and real-world applications.

Hands-on Projects
Industry Datasets
Python & R Focus
Data Science Laboratory Environment

Our Training Programs

Choose from three comprehensive learning tracks designed to build your expertise progressively from fundamentals to enterprise applications.

Machine Learning Fundamentals

Machine Learning Fundamentals & Applications

Master core machine learning concepts through hands-on Python programming. Work with scikit-learn, TensorFlow, and Keras using real datasets from healthcare, finance, and retail sectors.

  • Supervised & Unsupervised Learning
  • Feature Engineering & Model Validation
  • Real-world Dataset Projects
€899 12 weeks
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Deep Learning Neural Networks

Deep Learning & Neural Network Architecture

Dive into complex neural network architectures and deep learning frameworks. Master CNNs for computer vision, RNNs for sequences, and transformer models for NLP.

  • CNNs, RNNs & Transformers
  • PyTorch & TensorFlow Mastery
  • Computer Vision & NLP Projects
€1,799 16 weeks
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Enterprise MLOps Professional

Enterprise Data Science & MLOps Professional

Executive-level course for leadership roles. Design end-to-end ML pipelines from data ingestion to production monitoring across cloud platforms.

  • Cloud Platforms (AWS, Azure, GCP)
  • Docker, Kubernetes & CI/CD
  • Distributed Computing with Spark
€2,899 20 weeks
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Why Choose Neural Path

Our methodical approach combines theoretical understanding with practical application, preparing you for real-world data science challenges.

Laboratory-Style Learning

Our courses mirror scientific research environments with systematic methodology and documented experiments for maximum comprehension.

Real Dataset Experience

Work with authentic datasets from healthcare, finance, and retail industries to build portfolio-worthy projects that demonstrate practical skills.

Production-Ready Skills

Learn industry-standard tools and frameworks including Python, R, TensorFlow, PyTorch, and cloud platforms for enterprise deployment.

Small Cohort Groups

Maximum 12 participants per cohort ensures personalized attention and peer collaboration opportunities throughout your learning journey.

Career Progression Path

Structured learning tracks from fundamentals to advanced enterprise skills with clear milestone achievements and portfolio development.

Industry Recognition

Earn credentials that demonstrate competency in machine learning, deep learning, and MLOps practices valued by Cyprus tech employers.

Ready to Begin Your Data Science Journey?

Join our next cohort and transform your analytical skills into professional data science competency through structured, hands-on learning.

Next Cohort Starts February 2025

Secure your spot in our upcoming machine learning fundamentals program. Early registration includes bonus Python refresher modules and course materials.

Frequently Asked Questions

Common questions about our data science training programs

What background is needed for the fundamentals course?

Basic programming experience in any language is helpful but not required. We recommend familiarity with high school mathematics including algebra and statistics. Our program includes Python refresher modules for participants new to the language.

How are the courses structured and delivered?

Courses combine live online sessions twice weekly with hands-on lab work using Jupyter notebooks. Each week includes theoretical concepts, practical coding exercises, and project work with real datasets. All sessions are recorded for review.

What tools and software will I learn?

Our curriculum covers Python, R, scikit-learn, TensorFlow, PyTorch, pandas, NumPy, Matplotlib, and Seaborn. Advanced courses include cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and Apache Spark for enterprise applications.

What kind of projects will I work on?

Projects include predictive modeling for healthcare outcomes, financial risk assessment, retail recommendation systems, computer vision for medical imaging, and natural language processing for sentiment analysis. All projects use real industry datasets.

How much time should I dedicate weekly?

Expect 8-12 hours weekly including live sessions, lab work, and project development. The fundamentals course requires about 8 hours weekly, while advanced courses need 10-12 hours for optimal learning outcomes and project completion.

What credentials will I receive upon completion?

Successful participants receive a Neural Path certificate of completion with detailed competency documentation. Our certificates specify skills mastered, projects completed, and technologies learned, valuable for portfolio development and career advancement.

Is there ongoing support after course completion?

Alumni receive access to our professional network, quarterly industry updates, and advanced workshop invitations. We maintain an active community forum for ongoing technical discussions and career development opportunities.

Visit Our Training Center

Located in the heart of Limassol's business district

15 Archbishop Kyprianou

3036 Limassol, Cyprus

+357 25 368142

Monday - Friday, 9:00 - 17:00

info@domain.com

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