Data Science: Using statistics, programming and machine learning to find insights in data and build models that make predictions.
Example
A data science team builds a model that predicts which customers are likely to cancel their subscription.
Why Data Science matters for IT interns
It is a popular career path. Knowing the real work — lots of data cleaning and testing — helps you decide if it suits you.
Where you will hear it
You will hear this term in data, analytics, and AI work, and increasingly in general software teams too. If someone uses it and you are not sure what they mean in your project, it is completely fine to ask; every team uses terms a little differently.
Related terms
- Artificial Intelligence (AI): The broad field of building systems that do tasks which normally need human intelligence, such as…
- Data: Facts and records that are collected and stored — such as orders, clicks, marks or messages — which software…
- Data Analysis: Examining data to find patterns, answer questions and support decisions, often with Excel, SQL, Python or…
- Database: An organised place where an application stores and finds data, such as users, orders or products.
- Dataset: A collection of related data used for analysis or for training and testing models, often stored as a table or…
- Generative AI: AI that creates new content — text, code, images or audio — based on patterns it learned from large amounts…
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Frequently asked questions
What is Data Science?
Using statistics, programming and machine learning to find insights in data and build models that make predictions.
What is an example of Data Science?
A data science team builds a model that predicts which customers are likely to cancel their subscription.
Why does Data Science matter for IT interns?
It is a popular career path. Knowing the real work — lots of data cleaning and testing — helps you decide if it suits you.
Explore more internship terms
The IT Internship Glossary explains 199 terms you will hear before and during your internship, with simple definitions and real examples.
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About the author
Dhaivat has 16+ years of experience in the IT industry, working on AI and cloud technologies, project delivery, and engineering leadership. He has interviewed and mentored many interns, wrote The Lost Intern, and runs the non-commercial Career Impact Initiative, mentoring students for free.