Data Science: Key activities in Data Science

Data Science is a multidisciplinary field that combines various techniques, tools, and algorithms to extract insights and knowledge from structured and unstructured data.

It encompasses a wide range of activities involved in understanding, analyzing, and interpreting data to solve complex problems or make data-driven decisions. Data Science involves a combination of skills from different domains such as statistics, mathematics, programming, domain knowledge, and communication.

Key activities in Data Science include:

Gathering data from various sources and ensuring its quality and integrity.

Data collection and cleaning:

Exploring data patterns, trends, and relationships using visualizations and statistical techniques.

Data exploration and visualization:

Applying statistical and machine learning algorithms to build predictive or descriptive models.

Data analysis and modeling:

Interpreting the results, communicating findings, and making data-driven recommendations.

Interpretation and communication:

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