"Data Science" refers to the interdisciplinary field that
utilizes scientific methods, processes, algorithms, and systems to extract insights and knowledge from
structured and unstructured data. This course covers key concepts such as data analysis, statistics,
machine learning, and data visualization, preparing students to analyze and interpret complex data sets.
Topics include data cleaning, exploration, and modeling, as well as the application of algorithms to make
predictions and inform decision-making. Students will gain practical skills in programming languages like Python
or R, and learn to work with various data tools and technologies. The course also emphasizes the ethical considerations
surrounding data use and the effective
communication of findings to both technical and non-technical audiences.