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- Data Cleaning and Preparation:This involves filtering the data handling missing values andpreparing the dataset for analysis to ensure accuracy andrelevance.
- Data Exploration and Analysis:Analysts use statistical tools and techniques to explore andanalyze data identifying patterns relationships andtrends.
- Data Visualization: They createvisual representations of data findings through chartsgraphs and dashboards to make the data understandable at aglance.
- Reporting: Data analysts preparereports and presentations to communicate the insights and findingsfrom the data to stakeholders which can influence policy anddecisionmaking processes.
- Collaboration: Theyoften work with other departments to understand their data needsand help them make informed decisions based on datainsights.