Are you wondering how to kickstart your career in data science? Securing an internship in data science is a great way to get hands-on experience with real-world ...

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 ...

Why is Python so important to data science today? Its simplicity, versatility, and robust support system have made it almost ...

Within the arena of data science, the theory behind the approaches of statistics, modelling and machine learning will be introduced emphasising their importance and application to data analysis. The ...

“H-E-B has been a great supporter of the university, particularly the UTSA School of Data Science,” she said. “It’s great ...

Dr. Andre Koernig discusses the evolving capabilities of atomic force microscopy (AFM), highlighting its applications in ...

Soybean farmers have benefited from decades of checkoff-funded research that’s pushed yields, and now a program is taking ...

In today’s rapidly digitalizing world, the demand for professionals skilled in data analysis and decision-making has surged.

Balancing theoretical rigor with practical application, our MBA for data scientists leverages the resources of Chicago Booth, the Data Science Institute, and the Physical Sciences Division to bring ...

The Department of Computer and Data Sciences in the Case School of Engineering at Case Western Reserve University (CWRU) invites applications for a ...

forestry and environmental science. Topics include multiple linear, curvilinear and non-linear regression, hierarchical grouped data and mixed-effects models. Emphasis is placed on application of ...

Domain-specific techniques for applying data science, including: computer vision, social media analysis, intelligent sensing and internet of things. Case study-based projects that show the practical ...