Certificate in Data Art: Exploring Algorithmic Design
-- ViewingNowThe Certificate in Data Art: Exploring Algorithmic Design is a comprehensive course that bridges the gap between data analysis and artistic expression. This program emphasizes the importance of data-driven design, meeting the increasing industry demand for professionals who can transform complex data sets into engaging visual narratives.
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โข Introduction to Data Art: Understanding the interplay of data, art, and technology. Exploring data art history, techniques, and tools.
โข Data Collection and Preparation: Gathering structured and unstructured data from various sources. Cleaning, pre-processing, and structuring data for algorithmic design.
โข Algorithmic Design Basics: Learning the fundamentals of programming, algorithms, and data structures. Implementing basic algorithms in artistic contexts.
โข Interactive Data Visualization: Designing interactive visualizations to engage users and convey complex data stories. Utilizing libraries like D3.js and p5.js.
โข Generative Art: Applying algorithms and code to create art pieces. Exploring randomness, recursion, and emergence in generative art.
โข Machine Learning in Art: Discovering artistic applications of machine learning algorithms. Implementing neural networks, decision trees, and clustering techniques in artistic projects.
โข Data Sculptures and Installations: Transforming physical spaces with data-driven art. Creating layered, immersive experiences with data.
โข Ethics in Data Art: Navigating ethical considerations when working with data. Discussing privacy, informed consent, and potential biases.
โข Portfolio Building and Critique: Showcasing data art projects and receiving constructive feedback. Developing a professional data art portfolio.
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