IBM Data Science Professional Certificate teaches Python, SQL, data visualization, and machine learning with hands-on industry-relevant projects. Google Advance ...

Pharma, I am constantly told by colleagues in Silicon Valley, needs to acquire a “data science mindset.” Yet the entire business of drug discovery and development is deeply rooted in data, in ...

This online data science specialization is designed for anyone interested in learning how to program in R. You will learn the basics of R, including imputing data, performing basic analysis, graphing, ...

The language R is in the midst of a sizzling resurgence this summer. One might hypothesize that this growth is coming at the expense of Python, by far the dominant language for data science. But some ...

With today's highlighted deal, take a deep dive into Machine Learning and Data Science with included certification across 8 courses and 48 hours. Plus when you use a promo code get a further 20% off!

J. Hardin, R. Hoerl, Nicholas J. Horton, D. Nolan, B. Baumer, O. Hall-Holt, P. Murrell, R. Peng, P. Roback, D. Temple Lang, M. D. Ward, Data Science in Statistics ...

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.

MS in Data Science at CU Boulder The last decade has seen an explosion of data generation from individuals, businesses and institutions worldwide. As these organizations increasingly rely on ...

Master of Science in Data Science Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry ...

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 ...

The Ph.D. in Data Science at William & Mary is offered as a specialization within Applied Science, with the core mission of training students in the use of exceptionally large, heterogeneous datasets ...