Data 101

Systematic gathering of information from various sources to analyze and make informed decisions. It involves using specific methods and tools to collect relevant data in various forms, such as surveys, interviews, observations, and digital tools.

The process of identifying and correcting errors and inconsistencies in data to improve its quality. This involves tasks such as removing duplicates, handling missing values, correcting inaccuracies, and standardizing formats.

The representation of data to help people understand and interpret complex information easily. It involves using charts, graphs, maps, and other visual tools to present data in a clear and engaging way.

The practice of collecting, storing, organizing, and maintaining data to ensure its accuracy, accessibility, and security. It involves processes and technologies for handling data throughout its lifecycle, from creation and storage to processing and archiving.

Excel is a fundamental tool in the data industry due to its powerful capabilities in data analysis, management, and visualization. Its user-friendly interface allows professionals to efficiently organize and manipulate large datasets, create detailed reports, and generate insightful visualizations.