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 ...

We live in a world driven by data. Data is collected and stored on every human interaction, whether commercial, civic or social. Enormous server “farms” across the world save, preserve and serve data ...

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 ...

When school let out for summer on Wednesday, close to 100 Yalies left campus with a virtual toolbox in hand — a starter pack of data science methods, excellent for digging into whichever academic ...

BEAVERTON, Ore.--(BUSINESS WIRE)--Gurobi Optimization, LLC, the leader in decision intelligence technology, in collaboration with Dr. Joel Sokol, Harold E. Smalley Professor in Georgia Tech’s H.

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 ...

ILS 23000, Data Science and Society: Ethical, Legal, Social Issues This course provides an introduction to Ethical, Legal, Social Issues (ELSI) in Data Science. Students will be introduced to ...

A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, ...

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 ...

An introduction to programming using MATLAB. Topics include MATLAB interactive environment, programming basics, MATLAB scripts, functions, vectors, matrices, data analysis, and graphic visualization.