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Computer Science
Artificial Intelligence
OpenAI
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Introduction to Graphic Illustration
The Science of Gastronomy
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Analyze COVID-19 data to create a supply plan for PPE and ventilators across US states. Learn to extract data, build PivotTables, and create visualizations for effective reporting.
Explore relationships in breast cancer data using Seaborn. Practice feature selection, extraction methods, and build an XGBoost classifier for tumor classification.
Learn to animate sprites in PyGame, creating walking, running, jumping, and falling characters for a single game level. Build on PyGame basics to enhance your game development skills.
Learn to create and sell T-shirt designs on print-on-demand platforms using Canva, navigate trademarks, and set up a business with live listings on Redbubble and Amazon Merch.
Predict university admission chances using regression models. Analyze student profiles, visualize data, and compare different algorithms to determine acceptance probability.
Learn to design eye-catching infographics with Piktochart, communicating complex information effectively through visually appealing and shareable graphics for your business network.
Learn to create AI, package games, and implement good design principles in PyGame, enhancing player challenge and entertainment in advanced game development.
Learn to work with relational databases in SQL Server Management Studio. Create diagrams, run SELECT and CREATE TABLE commands, and understand basic database terminology for future SQL Server classes.
Learn to navigate Photoshop, perform basic tasks like cropping and healing, use the stamp tool, and save projects. Perfect for beginners looking to create simple photo projects.
Learn Firebase user authentication and data security rules to protect your web app and manage user access effectively.
Create an interactive restaurant website with JavaScript, featuring a dynamic menu, theme toggle, and item recommendations.
Learn API testing with Cypress: send GET, POST, PUT, DELETE requests, and generate HTML reports. Ideal for developers and QA engineers working with modern web applications.
Learn to uncover actionable insights from complex survey data using factor analysis techniques in Google Sheets, enabling data-driven decision-making across various industries.
Explore data visualization with ggplot2 in R, mastering the Grammar of Graphics to create customized, multi-variable plots with trend lines and advanced visual elements.
Learn to build, train, and evaluate a neural network for classifying clothing images using Keras and TensorFlow in R, with hands-on practice using the Fashion MNIST dataset.
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