Articles

Turkish Articles

This section offers a curated selection of academic articles and journals in both Turkish and English for students eager to explore the field of data science. From introductory guides to advanced analyses, these resources cover a wide range of topics, including business intelligence, predictive analytics, machine learning, and the transformative role of data science in various industries. The articles are categorized by topics to ensure that readers have access to the most up-to-date and detailed information. By combining theoretical knowledge with practical applications, these research-based resources aim to enhance your expertise and broaden your understanding of the field.

• Applications of Data Mining in the Education System and a Case Study on Awareness:
  Topic: A comprehensive analysis of the use of data mining technology in the education system and the level of awareness regarding its implementation.
• The Concept of Data Mining in Education and it's Applications in Türkiye:
  Topic: The applicability and development of data science in Türkiye’s education system.
• Data Mining and Artificial Intelligence Studies in Education in Türkiye:
  Topic: An in-depth study examining the use of data mining and artificial intelligence techniques in the education sector.
• Applications of Artificial Intelligence and Machine Learning in Big Data Analysis:
  Topic: A detailed study on the application of artificial intelligence and machine learning techniques in big data analysis.
• The Comparison of Trainings and Skills of Big Data Experts in Germany and Türkiye:
  Topic: This paper compares the educational backgrounds and skill sets of big data experts in Germany and Türkiye. It uses LinkedIn profiles and data mining techniques to perform statistical analysis and draw conclusions about the necessary qualifications and expertise required in the big data field​.

English Articles

• The Data Science Journal:
  Topic: This journal publishes research, insights, and articles on the latest trends in data science, offering valuable content for data professionals.
• Business Intelligence and Data Science in Business Strategy:
  Topic: This piece outlines how data science integrates with business intelligence and strategic planning. It explains how data scientists analyze customer data and operational data to improve decision-making and help businesses predict future trends. Additionally, it emphasizes the importance of data visualization and predictive analytics for effective business strategies.
• The Comprehensive Impact of Data Science in Business:
  Topic: A guide that dives into how data science impacts various sectors like marketing, product development, and security. It discusses the growing importance of data science tools, such as augmented analytics and machine learning, for improving decision-making across departments like sales, HR, and operations. The article also talks about the importance of fostering data literacy in organizations​.