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What is data science?

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Quick answer

Data science is the field of extracting insights and predictions from data by combining statistics, programming, and domain knowledge. It turns raw numbers into decisions, trends, and machine-learning models. It blends statistics, coding, and subject expertise. Typical workflow: collect → clean → explore → model → communicate.

Key things to understand

  1. It blends statistics, coding, and subject expertise.
  2. Typical workflow: collect → clean → explore → model → communicate.
  3. It powers recommendations, forecasting, fraud detection, and more.
  4. Machine learning is a key tool, but so are charts and clear analysis.

People also ask

What does a data scientist do?
Collects and cleans data, finds patterns, builds models, and turns the results into useful decisions.
What's the difference between data science and machine learning?
Machine learning is one tool within data science, which also covers gathering, cleaning, analyzing, and communicating data.
What skills do you need for data science?
Statistics, programming (often Python), data wrangling, and the ability to explain findings clearly.