Data science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines aspects of statistics, computer science, and domain expertise to analyze data, build predictive models, and support decision-making

Key characteristics :

• Interdisciplinary Nature : Data science draws upon various fields like mathematics, statistics, computer science, and domain knowledge (e.g., business, healthcare, etc.)
• Data Analysis : It involves collecting, cleaning, and analyzing data to identify patterns, trends, and relationships
• Model Building : Data scientists build predictive models using machine learning algorithms and statistical techniques to forecast future outcomes or classify data
• Insight Extraction : The ultimate goal is to derive meaningful insights from data that can inform business decisions, solve problems, and drive innovation
• Communication : Data scientists need to effectively communicate their findings to both technical and non-technical audiences through visualizations and reports.

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