Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It plays a crucial role in various fields, from business to science, by turning raw data into actionable insights.
Key Concepts
- Data Types: Numerical, categorical, textual, and temporal data form the foundation of analysis.
- Analytical Techniques: Descriptive, predictive, prescriptive, and diagnostic analysis help extract value from datasets.
- Tools & Technologies: Software like Python, R, SQL, and Tableau enable efficient data processing.
Applications
Data analysis is widely used in:
- Business Intelligence 📈
- Scientific Research 🔬
- Healthcare 🏥
- Finance 💰
- Marketing 🎯
For deeper exploration, check our Data Analysis Tutorial to learn practical skills!