We align ourselves with AI4ALL, an initiate from Stanford University with the following philosophy.
Our vision for AI is a world where diverse perspectives, voices, and experiences unlock AI’s potential to benefit humanity.
The exponential growth of data, advances in cloud computing, and machine learning have transformed every industry from retail and banking to healthcare and education. This introductory-level course enables participants to navigate the new reality of the “data economy,” in which data is the “the new oil”—a ubiquitous and invaluable asset.
We focus on the strategic use of data and innovative technologies to derive actionable business insights. Participants develop a strong foundation in data-driven thinking for solving real-world problems. They are introduced to a variety of popular technologies for data analytics and gain a familiarity with programming in either R, a software environment for statistical computing and graphics, or Python. Much of the in-class work involves working with one of these two languages. Students learn how to import, export, manipulate, transform, and visualize data; use statistical summaries; and run and evaluate machine learning models.