What are the key components of data science?
June 11, 2024 ⚊ 1 Min read ⚊ Views 19 ⚊ TECHNOLOGY
Data science comprises several key components: data collection, cleaning, and preprocessing to ensure quality; exploratory data analysis (EDA) for understanding patterns and relationships; statistical modeling and machine learning algorithms for predictive analysis; data visualization to communicate insights effectively; and finally, deployment and interpretation of results to inform decision-making. These components encompass the entire data science workflow, from raw data to actionable insights, enabling organizations to extract value and gain competitive advantage.
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