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Data Analysis Framework

2024-07-24 08:55:45 0 Report
Data Analysis Framework
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Outline/Content
Identify relevant data sources
Collect data using appropriate methods and tools
Data Collection
Cleanse and transform raw data
Handle missing or erroneous data points
Normalize data and address outliers
Data Preprocessing
Summarize and visualize data distributions
Conduct statistical analysis and hypothesis testing
Exploratory Data Analysis (EDA)
Train and validate predictive models using available data
Evaluate model performance and adjust parameters
Modeling and Prediction
Interpret model results and insights
Communicate findings through reports and presentations
Provide recommendations based on data analysis
Interpretation and Reporting
Ensure data privacy and security
Comply with relevant regulations and policies
Establish data governance practices for responsible data use
Data Governance and Compliance
Data Analysis Framework
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