Data Science Program at the International Balkan University Lifelong Learning IT Academy

Program Overview: The Data Science Program at the Lifelong Learning IT Academy reflects International Balkan University's dedication to leading-edge education in critical technology sectors. Structured to deliver deep insights into data analysis techniques and practices, this program capitalizes on the sophisticated resources and academic prowess of the university’s Faculty of Engineering.

University Vision and Data Science Department's Capabilities: At the forefront of technological education and innovation, International Balkan University boasts a robust investment in data sciences and related technologies. With state-of-the-art facilities and a faculty comprising experts in big data, machine learning, and statistical analysis, the university stands as a beacon of advanced research and applied science in data analytics.

Program Objectives:

• Provide an in-depth understanding of big data and analytics techniques.
• Equip students with the skills to transform data into actionable insights.
• Encourage the practical application of data analytics in real-world business scenarios.

Core Courses:

1. Foundations of Data Analytics:

   • Key concepts and techniques in data analysis.
   • Understanding data types, data collection methods, and data preprocessing.

2. Statistical Methods for Data Analysis:

   • Comprehensive coverage of statistical tools for data analysis.
   • Practical application using software tools like R and Python.

3. Machine Learning for Predictive Analytics:

   • Introduction to machine learning algorithms used for prediction.
   • Hands-on projects involving supervised and unsupervised learning.

4. Data Visualization and Communication:

   • Techniques for visualizing complex data to make informed decisions.
   • Tools like Tableau and Power BI for creating impactful visualizations.

5. Big Data Technologies:

   • Exploration of technologies used to handle large datasets such as Hadoop and Spark.
   • Implementing big data solutions in cloud environments.

6. Advanced Analytics Techniques:

   • Deep dive into advanced analytical methods including text analytics, neural networks, and time series forecasting.
   • Case studies from industries like finance, healthcare, and retail.

7. Ethics and Data Governance:

   • Understanding the ethical considerations in data handling and analysis.
   • Best practices in data security, privacy, and regulatory compliance.

8. Capstone Project in Data Analytics:

   • Opportunity to apply data analytics skills to a real-world problem.
   • Projects mentored by faculty and industry experts.

Program Duration and Format:

• Duration: 12 months, designed to accommodate both full-time students and working professionals.
• Format: Hybrid model combining online and on-campus sessions in advanced computer labs.

Professional Development:

• Expert Instruction: Learn from leading data scientists and academicians with deep industry connections.
• Collaborative Environment: Engage in group projects and discussions to foster a deeper understanding and network with peers.
• Practical Application: Direct application of theoretical knowledge through hands-on projects and interactive learning.

Benefits for Participants:

• Mastery of tools and techniques in data analytics that are crucial for modern industries.
• Preparation for roles that require critical data interpretation and decision-making skills.
• Access to a broad network of professionals and a pathway to significant career advancements in data science.

Certification:

• Participants will receive a Professional Certification in Data Science from International Balkan University, endorsing their expertise and technical proficiency in handling complex datasets and making data-driven decisions.

This program leverages International Balkan University’s advanced educational infrastructure and renowned faculty expertise, offering a comprehensive pathway to becoming proficient in data analytics and driving innovation across multiple sectors.