Data Scientists

Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.

This Awesome DataScience repository collects learning material and resources about data science.

Data Scientists offers learning material on core concepts for data analysts, scientists, engineers, and other data practitioners.

Prophet provides forecasting procedures in R and Python that data scientists can tune.

Apache Hamilton helps teams build modular, testable dataflows with lineage and metadata.

This article discusses demand for data scientists and their role in business analytics.

ModelOp manages enterprise AI assets and governance through a command center for tracking AI delivery.

Kale simplifies data science workflows for deploying Kubeflow Pipelines.

xonsh is a Python-powered shell described as full-featured, cross-platform, and AI-friendly.

Bioconductor develops and shares open-source software for precise, repeatable analysis of biological data.

Lost at SQL teaches SQL concepts through a text-based game designed for data scientists and marketers.

Athina provides a collaborative development platform for building, testing, and monitoring AI features with a team.

The electronic Babylonian Library brings together research on reconstructing and analyzing first-millennium BCE Iraqi literature.