Learn about the most common statistical learning methods for data science, such as supervised, unsupervised, semi-supervised, reinforcement, and deep learning. Skip to main content LinkedIn.

The course focuses on methods for modern data analysis both within a practical and theoretical framework. Fewer assumptions are made when using these methods, such as machine learning or statistical ...

The Certificate in Data Science provides you with the knowledge to draw conclusions on data reliably and robustly. Courses in Computer Science, Statistics and Management will teach you to implement an ...

Data science is a method to glean insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning (ML). For most organizations, it’s ...

Research activities in the data science area are concerned with the development of machine learning and computational statistical methods, their theoretical foundations, and applications. Machine ...

Scott Burk’s “Statistics for Data Science and Business Analysis” is designed for those who must use statistics in data science and business application. The richness of the book is that it contains ...

Data Science is an interdisciplinary field that uses scientific methods and algorithms to extract information and insights from diverse data types. It combines domain expertise, programming skills and ...

Specialization: Data Science Foundations: Statistical Inference Instructor: Dr. Jem Corcoran, Associate Professor in Applied Mathematics Prior knowledge needed: Probability Theory: Foundation for Data ...

It transforms data into useful decision-making and helps solve complex problems in a broad range of industries. Our BSc in Statistical Data Science covers both the theory and practical parts of modern ...