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What is Data Science and Analytics?
Data Science and Analytics is a multidisciplinary field at the intersection of statistics, mathematics, and computer science that transforms raw data into meaningful information, predictions, and decision-support outputs.
Rooted historically in 18th-century statistics, the discipline gained momentum with the rise of computers and evolved into its modern identity with the emergence of big data, artificial intelligence, and cloud computing in the 21st century.
Core Processes:
• Data Collection & Preparation — Acquiring, cleaning, and transforming data from diverse sources
• Exploratory Analysis — Detecting patterns, distributions, and anomalies
• Modeling & Prediction — Developing statistical and machine learning models
• Interpretation & Communication — Visualizing findings and conveying insights to decision-makers
Interdisciplinary Connections:
Economics → Econometric Analytics | Medicine → Medical Data Analytics | Biology → Bioinformatics | Sociology → Computational Social Science