Introduction to Data Science

Building on the quantitative foundations established in the first semester, this course introduces students to the entire process and lifecycle of data science, including data acquisition, data visualization, data quality analysis, relevant machine learning methods, communicating results, aspects of deploying and monitoring the models, and the ethical considerations in managing and processing data. Throughout the course, students implement and experiment with the concepts and methods of the data science process, and apply them to real-world datasets.