Data Visualization is the graphical representation of data using charts, graphs, maps, and other visual formats to help users analyze trends, patterns, and insights effectively. It transforms complex datasets into intuitive visuals, enabling better decision-making and understanding.
Data Engineering is the practice of designing, building, and maintaining systems that collect, store, process, and transform raw data into usable formats for analysis and decision-making. It involves working with databases, ETL pipelines, big data technologies, and cloud platforms to ensure efficient data flow and accessibility.
Data Science is an interdisciplinary field that uses statistical analysis, machine learning, and data processing techniques to extract insights, patterns, and knowledge from structured and unstructured data. It combines programming, mathematics, and domain expertise to drive data-driven decision-making.
Predictive Analytics is the use of statistical techniques, machine learning, and data modeling to analyze historical data and predict future outcomes, trends, or behaviors. It helps businesses make data-driven decisions by identifying patterns and forecasting potential scenarios.