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Learn to design and implement a database system for an artist platform using SQL Server Management Studio, covering key concepts like entities, attributes, relations, and data insertion.
Learn to create eye-catching social media content on a budget with Coursera's course on using PicsArt, a free web-based photo and video editing program. Ideal for North American learners.
Create and train a recurrent neural network using Keras to perform addition of equations in string format. Learn to generate synthetic data and build a sequence-to-sequence model for text-based arithmetic.
Analyze business data using R to uncover patterns and trends during the pandemic, aiding strategic decision-making and resource allocation in uncertain economic conditions.
Learn to design a modern table lamp using SketchUp in a 1-hour project-based course offered by Coursera Project Network. Ideal for North America-based learners.
Learn to use Tableau for business analysis with Coursera's 1-2 hour course. Master data uploading, interface navigation, and creating various graphs and tables.
Master SQL joins in a 2-hour project-based course by Coursera Project Network. Learn to use INNER, LEFT, RIGHT joins, and aggregate functions. No expert knowledge required.
Train your computer to recognize images of dogs and cats using Microsoft's Custom Vision service, without writing code. Learn AutoML for computer vision through a hands-on, drag-and-drop approach.
Learn to manipulate and analyze data using Python Pandas, including merging datasets, sorting values, and filtering information to uncover patterns and correlations through regression plots.
Learn to create a thread-safe banking application in Java, mastering multithreading concepts for parallel execution and data integrity. Practice designing efficient programs that leverage multiple cores for enhanced performance.
Learn to predict diabetes using Random Forest in R, covering data preparation, visualization, model application, and performance evaluation.
Learn to apply artistic styles to images using TensorFlow, combining content and style features through neural networks for creative visual transformations.
Learn to implement Siamese Networks with Triplet Loss in Keras, creating embeddings that distinguish between different classes in vector space. Gain hands-on experience with neural network architectures and loss functions.
Learn to reduce image noise using auto-encoders and TensorFlow. Explore data compression, dimensionality reduction, and neural networks to enhance image quality through hands-on practice.
Learn to extract stock price data using Python YFinance and create Japanese candlestick charts in Tableau, enhancing your financial data visualization skills.
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