Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

The world of data science is awash in open source: PyTorch, TensorFlow, Python, R, and much more. But the most widely used tool in data science isn’t open source, and it’s usually not even ...

MITX - Statistics and Data Science with Python - edX: Best for college graduates. The year-long MicroMasters offers a deep dive into probability, statistical inference, ...

In contrast, Python follows a multiprogramming paradigm, which makes it easy for developers to write concise code using syntactic sugar. Python was not built specifically for data science workloads, ...

Data Science is inherently interdisciplinary: a fusion of statistics and computing science, with an underpinning of mathematical principles. Aims of Data Science notably include optimizing operations ...

Despite a reputation for being worse than damned lies, statistics conquered its enemies during the 20th century and now reigns over science. What happens in a scientific experiment is considered ...

Become highly employable in the field of statistics across a variety of industries, including Big Pharma, Big Tech, clinical trials, psychology and Government agencies. Learn from academic experts ...

Netflix's data-science team has open-sourced its Metaflow Python library, a key part of the 'human-centered' machine-learning infrastructure it uses for building and deploying data-science ...