Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

If program staff suspects you may have used AI tools to complete assignments in ways not explicitly authorized or suspect other violations of the honor code, they will contact you via email. Be sure ...

In an era where data drives decision-making, renowned data scientist Akintunde Agbonde has provided valuable insights into the fundamental principles of data, its types, and its diverse applications ...

We know that higher education institutions have been exploring data science for decades. Many began by leveraging institutional data to serve administrative computing needs and efficiencies, later ...

Did you know that over 80% of AI projects fail? That's twice the failure rate of regular IT projects. A Gartner survey found that only 48% of AI projects make it to production, and it typically takes ...

Editor’s note: This is part of a series of stories featuring master’s degree programs at the University of Chicago. Bradley Stoller knew the University of Chicago was an ideal fit to pursue a master’s ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

Top performing students can help drive innovation and increase operational effectiveness when it comes to data scientific applications in higher education. The Data Science Internal Internship (DSII) ...

Product management has similar objectives for any kind of software rollout, but some responsibilities are specific to analytics and data products. Here are five ways a great product manager improves ...