Elements of Data Science (CS 10)

Data science combines data, statistical analysis, and computation to gain insights and make useful inferences and predictions. CS 10 takes a holistic approach to helping students understand the key factors involved, from data collection and exploratory data analysis to modeling, evaluation, and communication of results. Working on case studies and a final project in teams provide students with hands-on experience with the data science process using state-of-the-art tools. Emphasis is given to the strengths, trade-offs, and limitations of each method to highlight the importance of merging analytical skills with critical quantitative thinking.