This course focuses on the process of finding and extracting useful information and insights from data using survey and data science methods. At the beginning of the course, students will be introduced to a number of clients (organizations or companies) who will present particular problems/research questions that they would like to address using data. Students will be split into groups and will have an opportunity to choose a problem to work on. The real-world context of the course will help students to learn to balance high-quality work, effective collaboration, and planning as well as time management. While there will be some lecture and reading material, the main resource of the course will entail a close interaction with other students and the course instructor. By the middle of the course, students will be asked to make a 5-minute online presentation reporting on their progress. At the end of the course, students are expected to present their results and submit a written report. In addition to participating in regular online meetings attended by all of the students, team are expected to meet on a regular basis (Zoom virtual rooms will be provided).
By the end of the course, students will…
Grading will be based on
Ron S. Kenett (2015): Statistics: A Life Cycle View. Quality Engineering, 27:111 121, 2015
Arul Earnest(2020): Essentials of a Successful Biostatistical Collaboration, Chapman Hall, Chapter 6 to 10.
Weekly online meetings & assignments: