Data science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines techniques from statistics, computer science, and domain knowledge to analyze and interpret complex data sets. Here are some key aspects of data science:

Data Collection and Acquisition: Gathering data from various sources, which might include databases, web scraping, APIs, sensors, or user-generated content.

Data Cleaning and Preparation: Transforming raw data into a usable format, which involves handling missing values, outliers, and inconsistencies.

Data science is widely used across various industries, including finance, healthcare, e-commerce, and technology, to drive decision-making, improve operations, and create new business opportunities.