Glossary /  


Data Analytics Concept

A dataset is a collection of data that is usually organized in a tabular format. It can contain various types of information such as numerical, categorical, or text data. Datasets are commonly used in data analysis, machine learning, and other data-related fields.

Key highlights about datasets:

  • A dataset can be small or large depending on the amount of data it contains.
  • Datasets can be structured, semi-structured, or unstructured.
  • Datasets can come from a variety of sources such as surveys, experiments, or real-world data.

References for further learning:

How to apply the concept of datasets to business:

In business, datasets are essential for making informed decisions. By collecting and analyzing data, companies can gain insights into their customers, products, and operations. For example, a retailer can use sales data to identify trends and optimize their inventory. A healthcare provider can use patient data to improve treatment outcomes. In short, datasets are a critical tool for businesses that want to stay competitive and make data-driven decisions.