Data science is an area of study that focuses on organizing, analyzing, and extracting insights from large data sets (big data) using various scientific methods, algorithms, and processes. The term originates from the use of mathematical analysis to discover hidden patterns from raw data.
The lifecycle of data science generally consists of:
A data scientist is able to identify questions, collect data from various sources, organize and analyze the data, and then communicate their findings to affect meaningful decisions for businesses.
A data scientist will use some or all of the following technologies: Apache Hadoop, Apache Spark, ETL, AWS Redshift, Jupyter, MapReduce, NoSQL and SQL databases, Python, R, Tableau, and GitHub.
Data science helps solve problems that would otherwise be impossible to solve. The following are areas where data science is currently being used to innovate and provide solutions:
A data store (or datastore) is a central location for storing and managing sets of data, such as in a database or file system.
Machine learning (ML) is a technique used in artificial intelligence where engineers train algorithms to learn patterns in large...