Learn about networks through interactive tutorials and visualizations. Explore simplified datasets and see behavior in real time. Complete mission-based challenges to understand concepts like training, activation, and optimization.
Create scatterplots and fit simple or multiple linear, logistic, or exponential models. Display standard errors, confidence intervals, and P-values for model parameters. Include categorical predictors and two-way interactions.
Allows users to enter and save datasets, generate summary , calculate z-scores, and create boxplots and histograms. It includes a textbook with formulas, exercises, examples, and visualizations of key statistical concepts.
Programming languages like Python, SQL, and R through interactive courses and real-world projects. Complete industry-recognized certifications in and AI. Practice with hands-on exercises and build practical skills for technology careers.
Coding with interactive labs and an on-device Python IDE. Run without setup or internet. Access tutorials on syntax, variables, functions, loops, data analysis, visualization, web scraping, networking, XML/JSON parsing, and machine learning.
The Mobile allows users to participate in citizen science projects. Contribute to research by classifying data, analyzing images, and transcribing historical documents. Receive push notifications for new tasks and updates.