A modern introduction that combines foundational concepts, cloud-based computational notebooks and AI learning tools.
Zero Installation • Interactive Learning • AI Support
Learning econometrics should be a more accessible and interactive experience.
Review core statistical principles and econometric examples based on Cameron's (2022) textbook.
Run code directly and interactively in your browser via Google Colab notebooks, with no environment setup required.
Leverage Google's NotebookLM and other AI tools for interactive study, code explanations, and deep dives into complex concepts.
Learn more about metricsAI in this short video
Click the badge to launch any chapter instantly in your browser. Below the badge, find additional resources for each chapter including slides, quizzes, and a podcast overview.
The learning materials of metricsAI are based on the contents of these books.
An Introduction Using Cloud-based Python Notebooks
by Carlos Mendez
Computational Python Notebooks and AI learning tools
Associate Professor, Nagoya University, JAPAN.
Original Textbook, Stata/R/Gretl Code, Datasets, PDF Slides
Professor Emeritus, University of California, Davis, USA.
