Data science combines mathematics and statistics, specialised programming, advanced analytics, artificial intelligence (AI), and machine learning with domain expertise to unlock the actionable value hidden in an organisation’s data. This information can be used for decision-making and strategic planning.
What do data scientists do?
Data scientists are experts at extracting industry-specific information and answers from data. They have a deeper background in computer science and hard science than typical business analysts or data analysts and a deep understanding of the industry or business discipline in which they work (e.g., automotive, e-commerce, or healthcare).
Data Science Versus Business Intelligence
The terms data science and business intelligence (BI) are easily confused because they relate to an organisation’s data and the analysis of that data, but differ in approach.
Data science tools
Data scientists use popular programming languages to perform exploratory data analysis and statistical regression. These open-source tools support built-in statistical modelling, machine learning, and plotting. These languages include the following (for more information, see Python vs. R: What’s the Difference?)
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