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Foundations of Data Science

Data Science

Basic concepts and factual information about the field of data science.

fundamentals concepts knowledge
20 Questions Easy Ages 12+ Aug 17, 2026

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This study set covers Data Science through 20 practice questions. Basic concepts and factual information about the field of data science. Every question includes the correct answer so you can learn as you go — pick any format above to get started.

Questions & Answers

Browse all 20 questions from the Foundations of Data Science study set below. Each question shows the correct answer — select a study format above to practice interactively.

1 Which of the following is a primary goal of data science?
  • A To create fictional narratives
  • B To extract knowledge and insights from data
  • C To develop new forms of art
  • D To predict the weather with 100% accuracy
2 What type of data is represented by categories or labels, such as 'red', 'blue', or 'green'?
  • A Numerical data
  • B Ordinal data
  • C Categorical data
  • D Time-series data
3 Which statistical measure represents the average of a dataset?
  • A Median
  • B Mode
  • C Standard Deviation
  • D Mean
4 In data science, what does 'feature engineering' involve?
  • A Discarding irrelevant data
  • B Creating new features from existing ones
  • C Visualizing raw data
  • D Training machine learning models
5 What is the term for a variable that is manipulated or changed in an experiment?
  • A Dependent variable
  • B Independent variable
  • C Confounding variable
  • D Extraneous variable
6 Which programming language is widely used in data science for its extensive libraries?
  • A Java
  • B C++
  • C Python
  • D Ruby
7 What is the process of identifying and removing errors or inconsistencies in data called?
  • A Data augmentation
  • B Data transformation
  • C Data cleaning
  • D Data aggregation
8 What does 'overfitting' in machine learning refer to?
  • A A model that performs poorly on training data
  • B A model that performs poorly on new, unseen data
  • C A model that is too simple to capture patterns
  • D A model that requires very little data
9 Which of the following is a common type of data visualization?
  • A Algorithm
  • B Database
  • C Scatter plot
  • D Code
10 What is the primary purpose of a 'dataset' in data science?
  • A To describe a single event
  • B To store a collection of related data points
  • C To define a mathematical formula
  • D To represent a user's opinion
11 What does 'algorithm' mean in the context of data science?
  • A A type of database
  • B A set of rules or instructions to solve a problem
  • C A method for storing data
  • D A visual representation of data
12 What is the 'median' of a dataset?
  • A The most frequent value
  • B The average of the values
  • C The middle value when the data is ordered
  • D The range of the data
13 Which of these is a supervised learning technique?
  • A Clustering
  • B Dimensionality Reduction
  • C Classification
  • D Association Rule Mining
14 What is the process of combining multiple data sources into a single, unified view called?
  • A Data mining
  • B Data integration
  • C Data warehousing
  • D Data analysis
15 What is a 'hypothesis' in scientific research?
  • A A confirmed fact
  • B A testable explanation or prediction
  • C A final conclusion
  • D A data visualization
16 Which type of variable can only take specific, separate values, such as the number of students in a class?
  • A Continuous variable
  • B Discrete variable
  • C Nominal variable
  • D Interval variable
17 What is the goal of 'exploratory data analysis' (EDA)?
  • A To finalize a model
  • B To create production-ready code
  • C To understand the main characteristics of a dataset
  • D To document data sources
18 Which statistical concept measures the spread or dispersion of data around the mean?
  • A Mean
  • B Median
  • C Standard Deviation
  • D Mode
19 What is 'machine learning'?
  • A A type of computer hardware
  • B A field of study that gives computers the ability to learn without being explicitly programmed
  • C A method for physical computing
  • D A technique for data storage
20 What is a 'database' in data science?
  • A A single numerical value
  • B A tool for drawing charts
  • C An organized collection of data
  • D A programming language
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