Data science is a rapidly spreading field that combines statistical analysis, data management, computation, and substantive expertise, with the goal of improving decision-making in business, government, administration, law, and just about every other field.
One of the key challenges for decision-makers and managers is to understand what makes for good data science, and how the evidence from this field should be used in evaluation and decision-making.
The focus of this course is on examples of good and bad data science, with real-world applications from the government, business, and law. By the end of the course, students will be familiar with the concepts of data science and will have learned how to evaluate quantitative evidence and how to design new studies using big data and data science tools.
- A comprehensive top-level understanding of the core concepts and methods of data science, including data management, data analysis, machine learning, and statistical learning.
- The ability to evaluate evidence from statistical learning and data science, in order to make informed decisions.
- A thorough awareness of the core issues in designing new data scientific studies.
- Practical and applied knowledge of the core material through applications drawn from business, government, and law, including at least one presentation from a practitioner in one or more of these areas.
METHOD OF TEACHING:
ONLINE / CLASSROOM