Courses from 1000+ universities
AI got cheap enough that Duolingo’s most expensive plan may not survive it. I read the earnings call transcript and opened the app to see what is actually changing for learners.
600 Free Google Certifications
Artificial Intelligence
IT & Networking
Software Engineering
Supporting Victims of Domestic Violence
Know Thyself - The Value and Limits of Self-Knowledge: The Examined Life
Understanding Dementia
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Prepare datasets for analysis with SQL by querying, joining, appending, filtering, and creating new fields.
Learn how purpose, audience, data visualizations, and narrative can make data analysis findings clearer and more influential in business decisions.
Explore how organizational data can reveal insights and support evidence-informed decisions through effective data storytelling.
Explore how feature importance, feature summaries, and local explanations make machine learning decisions understandable and increase trust in AI products.
Learn to take a trained model from a Jupyter Notebook into production as a web service.
An introduction to the Quantum Circuit Born Machine, showing how quantum circuits can generate data and how their foundations differ from classical machine learning.
A tool-agnostic framework for working effectively with data, centered on the processes and literacy that matter beyond choosing tools.
Explore how neural networks learn, then build a simple classifier with KNIME’s codeless Keras integration and examine CNNs for computer vision.
Build a demand prediction application, moving from (S)ARIMA models to machine learning models using codeless time series workflows.
A systematic way to connect business metrics and actionable levers, using machine learning to make decisions under uncertainty.
See how Excel concepts such as cells, ranges, and tables map to Python, and use notebooks and packages to expand analytics workflows.
A beginner’s guide to finding data in databases with SQL, including how relational and NoSQL systems differ and how SQL fits alongside analysis tools.
Learn a framework for online experimentation, including feature-level tests, user group splits, metric selection, and checks for traffic and statistical power.
A data-centric approach to computer vision focuses on collecting and annotating representative, consistent image datasets and mitigating harmful bias.
See how individual differences in discrete choice models can be estimated from aggregate sales data through simulated consumers.
Get personalized course recommendations, track subjects and courses with reminders, and more.