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

This course explores the legal, policy, and ethical implications of data. These types of issue arise at each stage of the data science workflow including data collection, storage, processing, analysis ...

Throughout your training, you will grow your technical skills specific for analysing and interpreting data. You should build solid knowledge and understanding of statistics, and learn to use ...

Parul Gupta stood on stage, beaming with joy as a representative from Major League Hacking placed a pin on her. Though the ...

Machine learning and artificial intelligence wouldn't be possible without the statistical models that underpin their analytic ...

Multimodal AI represents a significant leap forward in how organizations can leverage their data, leading to more accurate insights and better decision making.

View the Data Science Graduate Handbooks here ... Topics include camera and digital sensor arrays, types of imagery, digital data structures, spectral reflectance curves, applications, and ...

Before I leap into the instance of the ChatGPT Code Interpreter as an example of using generative AI for these types of data science analyses, I’d like to cover the elephant in the room about ...

A series of hands-on teaching modules created and shared by Virginia Tech researchers has filled a gap in data science ...

This new study examines data about Wikipedia readers' activities ... Hunters in 12 out of 14 languages tend to read more ...

Data management is core to both applied computer science and data science. This includes storing, managing, and processing datasets of varying sizes and types. This course introduces students to the ...