Data science is that mathematics-statistics-computer science intersection that takes away valuable insights from huge chunks ...

In this online data science specialization, you will learn to use intermediate and advanced statistical modeling techniques, including the theory and application of linear ... mathematics, and ...

The Data Science and Statistics PhD degree curriculum at The University of Texas at Dallas offers extensive coursework and intensive research experience in theory, methodology and applications of ...

Professor Tang’s teaching interests are applied statistics, quantitative methods ... His main research area is Data Science with recent emphasis on data-intensive applications in Cybersecurity, and he ...

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

Learn how dataframes have become a staple element in data science libraries and frameworks, and why developers love them.

With data science constantly evolving, new applications and techniques emerge ... A data science course typically covers ...

As an expert in Data Science & AI, you are crucial for the analysis, development, and application of data models and AI systems ... you need a strong foundation in areas such as computer science, ...

Our graduate program in Data Science provides you a strong general foundation as well as a self-determined specialization in this discipline. Through the application of data science methods, ...

Minicourses and sessions featuring renowned researchers aim at enhancing specific aspects of data professionals’ training, ...

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 ...

Introduces concepts and skills fundamental to Data Science including: getting data, data wrangling, exploratory data analysis, basic statistics ... association rules) and applications (web mining, ...