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.