AI + Data

skills of the future

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Learn the most in-demand skills today, apply them on the job tomorrow

October 16, 2023

Fine-tuning Large Language Models

Head of Product at PostgresML
October 16, 2023

Full-Stack Machine Learning with Metaflow

CEO, Outerbounds
Head of Developer Relations at Outerbounds
October 16, 2023

Search with Machine Learning

Former CTO at Wikimedia
Machine Learning Consultant
October 23, 2023

Advanced SQL

Founding Engineer at Bluesky
October 23, 2023

Practical A/B Testing

Senior Data Science and Analytics Manager
November 27, 2023

Causal Inference for Data Science

Head of Data Science at Solana Foundation
Data Scientist, Netflix
November 27, 2023

Forecasting with Machine Learning

VP of Data Science, Stealth
November 27, 2023

Search Engineering

Former CTO at Wikimedia
Principal Software Engineer at NetSuite


Gain expertise with a collection of courses curated and taught by industry experts


Acquire the foundational skills you need to be an effective search engineer in this 6 week track, including how to integrate machine learning and natural language processing techniques into search engines.

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Machine Learning Foundations

Gain the skills you need to become an effective machine learning engineer in this 3-course track, with applied machine learning, deep learning, deployment of machine learning projects, and more.

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Data Science Academy

Led by leading practitioners, this three course sequence covers applied statistical modeling, practical tools for experimentation, and advanced methods for causal inference. Upon completion of the sequence you'll have the toolkit to grow your career as a data scientist and have an immediate impact across a wide range of industries.

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Analytics Engineering Academy

Acquire the skills required for a career in data and analytics engineering, including the foundational tools of data modeling, SQL, and dbt used to organize, transform, and retrieve information for modeling and insights.

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Data Analytics Academy

Kickstart a career as a data analyst by learning the core skills needed to get started - business foundations and customer analytics, data visualization, and SQL, the most popular language for working with data.

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