Learning Goals

After completing the certificate, students will be able to:

  1. Create and formulate domain-specific questions and connect them with appropriate data sets;

  2. Acquire, curate, and process data to make them amenable to data analysis;

  3. Demonstrate a basic understanding of data-science techniques including inference, data-based modeling, machine learning, and visualization;

  4. Implement algorithms and data-science techniques in Python;

  5. Apply statistical algorithms to data to extract meaningful information and answer real-world questions;

  6. Demonstrate critical thinking and skepticism in data analyses;

  7. Communicate outcomes effectively using exploratory or explanatory visualizations;

  8. Understand the impact of data science on society, including issues of bias, fairness, and accountability.

Component Location