Technology
What is Data science?
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.
See it, don’t just read it.
Watch a 2-minute lesson with voice + animation that explains data science.
Key things to understand
- 1It blends statistics, coding, and subject expertise.
- 2Typical workflow: collect → clean → explore → model → communicate.
- 3It powers recommendations, forecasting, fraud detection, and more.
- 4Machine learning is a key tool, but so are charts and clear analysis.
Frequently asked questions
- 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.