GDG on Campus Benha National University - Obour, Egypt
1. Data Analysis Definition: The practice of examining data to answer questions, identify trends, and extract insights. ...
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1. Data Analysis Definition: The practice of examining data to answer questions, identify trends, and extract insights.
2. Data Analysis vs Data Analytics: ◦ Data Analysis: Focuses on historical data to identify patterns and insights. ◦ Data Analytics: Includes predictive and prescriptive techniques to inform decisions.
3. Types of Data Analytics: ◦ Descriptive Analytics: Summarizes historical data. ◦ Diagnostic Analytics: Explains why something happened. ◦ Predictive Analytics: Forecasts future outcomes. ◦ Prescriptive Analytics: Recommends actions based on data.
4. Data Analysis Applications: Medical, business, governmental, and digital marketing applications.
5. SMART Business Goals: Specific, Measurable, Achievable, Relevant, and Time-bound goals.
6. OSEMN Framework: A data science process involving Obtain, Scrub, Explore, Model, and iNterpret.
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