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.
Listen to the metricsAI podcast to learn more.
Let's review econometrics concepts through friendly podcast conversations.
Google Colab notebooks provide an interactive programming environment where AI tools generate code, explain errors, and provide conversational guidance to accelerate learning.
Video source: Julianne DeMars-Smith and Key Jung Lee from Google Research
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
Learn More
Computational Python Notebooks and AI learning tools
Associate Professor, Nagoya University, JAPAN.
Visit Website
Original Textbook, Stata/R/Gretl Code, Datasets, PDF Slides
Professor Emeritus, University of California, Davis, USA.
Visit WebsiteAdditional materials to boost your learning journey
