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Data Science extracts insights and builds predictive models from processed data. Big Data technologies include Hadoop, Spark, and NoSQL databases. Exploring the Data (Exploratory Data Analysis – EDA) Digging into the cleaned data to understand its basic characteristics, find patterns, identify trends, and visualize relationships.
Root cause analysis is a typical diagnostic analytics task. 3. PredictiveAnalytics Projects: Predictiveanalytics involves using historical data to predict future events or outcomes. It involves deeper analysis and investigation to identify the root causes of problems or successes.
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