Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

Data scientists spend 80% of their time convert data into a usable form. There are many tools out there to help and I will go over some of the most interesting. There was a money quote from Michael ...

Unstructured data is one of the biggest contributors to the data explosion. Defined as just about any kind of data that lacks a strict data model — essentially, any data that isn’t in a database of ...

The platform that makes advanced data science accessible with Graph Neural Networks and Predictive Query Language.

The third session in the Freedman Center for Digital Scholarship and University Center for Innovation in Teaching and Education (UCITE) workshop series will be held Tuesday, Feb. 19, from 11:30 a.m.

A startup called Numbers Station is applying the generative power of pre-trained foundation models such as GPT-4 to help with data wrangling. The company, which is based on research conducted at the ...

Are you using “big data” or geospatial datasets in some of your projects? How did you obtain these data wrangling skills and what do you think are the major challenges when learning how to work with ...

When Ed Wilkins, CPA, talks to audit committees about adding data analytics to the audit process, he explains to them that it usually takes three years for investment in a complex audit analytic to ...