Data science workflow stages overview

Data science workflow steps including data ingestion, cleaning, analysis, modeling, and art visualization

This infographic depicts the sequential stages of a data science workflow, each represented by a glowing circular icon connected with lines. The stages include ‘Data Ingestion’ involving sensors and datasets, ‘Cleaning & Processing’ with data standardization and filtering, ‘Analysis’ focusing on exploratory insights, ‘Modeling’ featuring machine learning and feature engineering, and ‘Art Visualization’ emphasizing generative art and dynamic visuals. The design uses neon blue and orange lines and icons against a dark, futuristic technological background with subtle circuit-like patterns, creating a high-tech and visually engaging presentation.


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