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.

Data Wrangling Versus Data Engineering Data wrangling is the process data scientists use to take the one-time snapshot of data to do an extract, transform and load into a one-time analysis data set.

Data science isn't new, but the demand for quality data has exploded recently. This isn't a fad or a rebranding, it's an evolution.

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 ...