The Fundamentals of Data Analytics
Data Analytics is the process of examining, cleaning, transforming, and modeling data to discover useful insights, draw conclusions, and support decision-making. It is a core component of business intelligence and strategic planning.
Types of Data Analytics:
- Descriptive Analytics – Summarizes past data and trends using visualization tools and statistical methods.
- Diagnostic Analytics – Examines the reasons behind trends and patterns through correlation analysis and hypothesis testing.
- Predictive Analytics – Uses machine learning models to forecast future trends based on historical data.
- Prescriptive Analytics – Provides recommendations and decision-making strategies using optimization algorithms and AI.
Modern Data Analytics relies on tools such as SQL, Tableau, Power BI, and Python libraries like Pandas and Matplotlib.
