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Data science - IBM Developer
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Data science

Analyze structured and unstructured data to extract knowledge and insights.

Data science is the process of using algorithms, methods, and systems to extract knowledge and insights from structured and unstructured data. It can be used to make predictions and decisions using analytics and machine learning.

19 August 2025

Article

From data to prediction: Building a robust predictive analytics pipeline

Predictive analytics pipelines empower teams to move from reactive to proactive operations. Developers must architect these systems to be efficient, transparent, and adaptable. By understanding the end-to-end flow of data, from raw data ingestion, through preprocessing and feature engineering, to PCA, to model deployment and prediction, developers can build solutions that provide valuable foresight, such as predicting employee stress before it impacts productivity.

From data to prediction: Building a robust predictive analytics pipeline
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