Data Science

2nd year - 2nd semester - 4 credits

The subject "Data Science" is a key course aimed at studying the methods, tools, and concepts of data analysis to extract valuable information and understand patterns from large volumes of data. During the course, students familiarize themselves with the main stages of the data analysis process, including data collection, cleaning, processing, visualization, and interpretation. They also study various methods of machine learning and statistical modeling, such as classification, clustering, regression, and time series analysis, and learn to apply them to solve various tasks such as forecasting, classification, clustering, etc. The course also covers topics related to data ethics and security, as well as the use of specialized tools and programming languages such as Python, SQL, and others. Acquiring skills in the field of Data Science enables students to successfully work with data in various fields, including business, science, healthcare, finance, and many others.