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Programming for Everybody (Getting Started with Python)
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Develop a strategic career plan by mapping skills, analyzing opportunities, and creating an action-oriented roadmap for your next professional move.
Process student test data using Python Collections to analyze and find common scores, enhancing data handling skills with Counter, DictReader, and UserList.
Learn to implement Bayesian optimization for efficient function optimization and hyperparameter tuning in machine learning projects using GPyOpt library.
Build a GraphQL server using ExpressJS to power a simulated online auction website, covering server setup and data serving in six straightforward steps.
Learn to build and deploy a Python API on AWS using Lambda and API Gateway, with testing via Postman and monitoring through CloudWatch.
Learn to create secret rooms in games with Coursera Project Network's one-hour course. Master scene setup, C# scripting, GameObject configuration, and Unity concepts like animation and UI Toolkit.
Learn to analyze group differences using Chi-Squared tests in Google Sheets, enhancing your business intelligence skills with statistical techniques applicable to any spreadsheet software.
Learn to create a revolver for an FPS game in Unity, covering prefab setup, player interactions, firing mechanics, and UI elements. Gain practical skills in animation, raycasting, and C# coding for game development.
Learn to code an interactive game of rock, paper, scissors in Python with Coursera Project Network. Gain basic programming skills and pave the way for a career in programming-based fields.
Learn human activity recognition using Python, TensorFlow2, and Keras with Coursera Project Network. Customize the InceptionNet model, label images, and use data augmentation normalization.
Master JavaScript's For Loop: Learn to efficiently repeat code blocks, enhancing your programming skills and understanding of this crucial computing concept through hands-on practice.
Train an LSTM network for English-French translation, gaining practical skills in neural machine translation and natural language processing.
Learn to perform Create, Read, Update, and Delete operations in MongoDB, a NoSQL database that stores data as JSON-like documents in collections, offering flexibility for object-oriented applications.
Build a Docker container for a Flask web app that generates regression plots using Seaborn, ensuring consistent performance across different environments.
Learn to create and integrate autoML classification models in Power BI with this practical course offered by Coursera Project Network.
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