Our world is increasingly being driven by data science — the art of using data to illuminate patterns and trends using tools ...

The data science sector as a whole is dynamic, with new developments occurring at a rapid pace. Notably, it is important to ...

At Bucknell, you're given the opportunity to dig deep into some of the most long-standing and complex data science topics in existence or take on real-world data to help companies and organizations ...

Anesthesiology and Intensive Care are fields in medicine that have long collected data systematically. In the last years, new statistical techniques and ...

A semester-long study of topics in Data Science. Topics and emphases will vary according to the instructor. This course may be repeated for credit with different topics. See the New and Topics Courses ...

The field of data science and AI is booming: technology companies are regularly releasing new models, while others are ...

Data science is a multidisciplinary field that focuses on the extraction of information from large amounts of data.

Data science is a multidisciplinary field that focuses on extracting ... Methods, theory, and applications of linear statistical models The topics of parameter estimation, residual diagnostics, the ...

Using statistical tools to analyze data from ecology, forestry and environmental science. Topics include multiple linear, curvilinear and non-linear regression, hierarchical grouped data and ...

Topics include: asymptotic analysis, searching and sorting algorithms, divide and conquer techniques, greedy algorithms, dynamic programming, graph algorithms, efficient data structures, and ...

Course topics include programming, data analysis, data engineering, statistics, machine learning, natural language processing, and more. Save Time and Money with Purdue’s Graduate Certificate in Data ...