Professor: Joe Sventek
- CRN 26173: Monday & Wednesday, 0815-0945 @ REMOTE
Data Science is about drawing useful conclusions from large and diverse data sets through exploration, prediction, and inference. Exploration involved identifying patterns in information. Prediction involves using information we know to make informed guesses about values we wish to know. Inference involves quantifying our degree of uncertainty; will the patterns that we found in our data also appear in new observations? How accurate are our predictions? Our primary tools for exploration are visualizations and descriptive statistics, for prediction are machine learning and optimization, and for inference are statistical tests and models. This course is an Honors College version of the DSCI 101 core education course, the syllabus of which is attached. Successful completion of this course will meet the DSCI 101 prerequisite if a student wishes to continue on to DSCI 102.