*Note: This course description is only applicable for the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.

This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...

You don't have to spend a fortune and study for years to start working with big data, analytics, and artificial intelligence. Demand for "armchair data scientists" – those without formal ...

The 7 Best Data Science Courses That are Worth Taking Your email has been sent Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models ...

6 excellent online courses and one book to learn statistics, machine learning, and deep learning while you’re locked in the house. If you are locked down because of the COVID-19 pandemic, you just ...

February 5, 2026 - Fresno Unified invested $30 million in services that go beyond traditional academics, from housing assistance to music production and lunchtime sports. We live in a world driven by ...

“I don’t want students leaving Yale and going through life with a feeling that everything powered by big data and algorithms is a black box,” said Alan Gerber, dean of social science and the Charles C ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. You'll gain a ...

Statistics is the science of learning from data. The theoretical foundation of statistics lies in probability theory, which is applied to decision-making under uncertainty. Data science consists of ...

Data science is more than a hot tech buzzword or a fashionable career; in the century to come, it will be an essential toolset in almost any field. Tomorrow’s data scientists will need to combine a ...