Applied Data Science

Major: Applied Data Science (Uygulamalı Veri Bilimi)

Program Overview

A practical, industry-focused program that trains students to extract insights from data, build predictive models, and drive data-driven decision-making. Combines statistics, programming, machine learning, and business analytics to prepare graduates for careers as data scientists, data analysts, and AI specialists in Turkey’s tech, finance, healthcare, and e-commerce sectors.

Key Learning Objectives

• Master data collection, cleaning, and preprocessing.
• Learn statistical analysis and hypothesis testing.
• Gain expertise in machine learning and AI algorithms.
• Develop skills in data visualization and storytelling.
• Understand big data technologies (Hadoop, Spark, SQL).
• Explore business analytics and decision-making.
• Apply ethics, privacy, and compliance in data science.

Core Courses

1. Introduction to Data Science
   • Overview of data science, tools, and applications.
2. Programming for Data Science
   • Python (Pandas, NumPy, Scikit-learn), R, and SQL.
3. Statistical Analysis
   • Descriptive/inferential statistics, regression, and A/B testing.
4. Machine Learning
   • Supervised/unsupervised learning, deep learning, and NLP.
5. Data Visualization
   • Tableau, Power BI, Matplotlib, and D3.js.
6. Big Data Technologies
   • Hadoop, Spark, NoSQL, and cloud platforms (AWS, Azure).
7. Business Analytics
   • Predictive modeling, optimization, and decision-making.
8. Data Ethics and Privacy
   • GDPR, KVKK, bias, and responsible AI.
9. Applied Data Science Projects
   • Real-world case studies and industry collaborations.
10. Capstone Project
    • Solve a business problem using data science techniques.

Assessment Methods

• Data cleaning and analysis assignments
• Machine learning model implementations
• Data visualization projects
• Business analytics case studies
• Capstone project presentations

Tools & Resources

• Software: Python, R, SQL, Tableau, Power BI, Hadoop, Spark
• Platforms: Jupyter Notebooks, GitHub, AWS, Google Cloud
• Books:
  • Python for Data Analysis by Wes McKinney
  • Hands-On Machine Learning with Scikit-Learn by Aurélien Géron
  • Data Science for Business by Foster Provost

Prerequisites

• Interest in data, programming, or analytics.
• Basic math/statistics knowledge helpful but not required.

Program Duration

• 2–4 years (associate/bachelor’s/master’s), including projects and internships.

Certifications (Optional)

• Google Data Analytics Professional Certificate
• Microsoft Certified: Azure Data Scientist
• AWS Certified Machine Learning – Specialty

Career Paths

• Data Scientist (tech, finance, healthcare)
• Data Analyst (business intelligence, reporting)
• Machine Learning Engineer (AI, predictive modeling)
• Business Analyst (strategy, optimization)
• Data Engineer (big data, pipelines)
• AI Specialist (NLP, computer vision)
• Consultant (data-driven decision-making)

Why This Major?

Turkey’s rapid digital transformation creates high demand for data science professionals who can turn data into actionable insights. This program provides hands-on training in programming, machine learning, and business analytics, preparing graduates for high-impact careers in a fast-growing, innovative field. Ideal for those passionate about technology, problem-solving, and data-driven innovation.