Students participating in Artificial Intelligence and Data Science training will strengthen their abilities to solve data-driven problems, think analytically, and tell stories with data, making them knowledgeable and effective individuals in the field of data science.

This training does not require prior knowledge for secondary school students, but for those with coding experience, it provides an opportunity to quickly develop their skill sets. By the end of the program, they will have a broad understanding of data science.

In the Foundations of Data Science course, students will learn what data is and explore the application areas of data science, starting to understand data analysis and modeling processes. In the Data Quality and Cleaning course, they will acquire skills to detect and correct missing or erroneous data, gaining the ability to work with reliable and high-quality data. In the Introduction to Data Analysis and SQL for Data Analysis courses, students will learn data analysis techniques and how to extract meaningful insights from data using SQL commands, allowing them to interpret these results effectively.

In the Introduction to Data Mining and Introduction to Big Data courses, students will develop skills to uncover hidden patterns in large datasets and use big data technologies, building a strong foundation in big data analysis and data mining. The Introduction to Artificial Intelligence course will help them understand how AI techniques work and how they are applied to real-world problems. Additionally, by working with tools such as Python and SQL to process and analyze data, students will gain practical experience with large datasets.