I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

*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.

Linguists, chemists, business analysts, social scientists, and essentially everyone needs computational approaches to structure, analyze and present their data. However, non-experts are often ...

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 ...

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 ...

These simple operations and others are why NumPy is a building block for statistical analysis with Python. NumPy also makes ...

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 ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

“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 ...