Dataset: A collection of related data used for analysis or for training and testing models, often stored as a table or file.
Example
You download a public dataset of house prices to practise building a prediction model.
Why Dataset matters for IT interns
Working with real datasets, including their messy parts, is a big share of data and AI work.
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
- Data Analysis: Examining data to find patterns, answer questions and support decisions, often with Excel, SQL, Python or…
- Data Science: Using statistics, programming and machine learning to find insights in data and build models that make…
- Database: An organised place where an application stores and finds data, such as users, orders or products.
- Generative AI: AI that creates new content — text, code, images or audio — based on patterns it learned from large amounts…
- Large Language Model (LLM): A type of generative AI model trained on huge amounts of text that can understand and write human-like…
- Machine Learning (ML): A way of building software that learns patterns from examples in data, instead of only following rules a…
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Frequently asked questions
What is Dataset?
A collection of related data used for analysis or for training and testing models, often stored as a table or file.
What is an example of Dataset?
You download a public dataset of house prices to practise building a prediction model.
Why does Dataset matter for IT interns?
Working with real datasets, including their messy parts, is a big share of data and AI work.
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.