Data Science Fundamentals

Data Science

Explore core concepts in data science, including data types, visualization, and basic analysis techniques, presented in a format suitable for young learners.

data science statistics computers math

15 Questions Medium Ages 13+ Sep 2, 2026

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About this Study Set

This study set covers Data Science through 15 practice questions. Explore core concepts in data science, including data types, visualization, and basic analysis techniques, presented in a format suitable for young learners. Every question includes the correct answer so you can learn as you go — pick any format above to get started.

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Browse all 15 questions from the Data Science Fundamentals study set below. Each question shows the correct answer — select a study format above to practice interactively.

1 What is a common way to represent the relationship between two numerical variables in data science?

A Bar Chart
B Line Graph
C Scatter Plot
D Pie Chart

2 Which of these is an example of 'categorical' data?

A Height in centimeters
B Temperature in Celsius
C Color of a car
D Number of steps taken

3 In data science, what does 'cleaning' or 'wrangling' data typically involve?

A Creating new datasets from scratch
B Removing irrelevant or incorrect data points
C Developing complex algorithms
D Designing user interfaces

4 What is the primary purpose of a 'histogram' in data visualization?

A To show parts of a whole
B To display trends over time
C To illustrate the distribution of a single numerical variable
D To compare values across different categories

5 Which programming language is widely used in data science for its libraries like Pandas and NumPy?

A Java
B C++
C Python
D Ruby

6 What does 'machine learning' enable computers to do with data?

A Only perform basic calculations
B Learn from data without being explicitly programmed
C Store data permanently
D Connect to the internet

7 What is the 'mean' of a dataset?

A The most frequent value
B The middle value when data is ordered
C The sum of all values divided by the number of values
D The range between the highest and lowest values

8 Which of the following is a type of 'structured' data?

A An email message
B A social media post
C A customer database table
D A handwritten note

9 What is the term for analyzing data to find patterns and insights that can help make decisions?

A Data Entry
B Data Storage
C Data Analysis
D Data Deletion

10 A 'correlation' between two variables indicates:

A One variable directly causes the other
B The variables tend to change together
C There is no relationship between them
D One variable is always greater than the other

11 What is the main goal of 'data visualization'?

A To make data harder to understand
B To present data in a clear and effective graphical format
C To delete unnecessary data
D To speed up data entry

12 Which type of data is represented by numbers that can be measured or counted?

A Categorical Data
B Textual Data
C Numerical Data
D Boolean Data

13 What is a 'dataset' in the context of data science?

A A single number
B A collection of related data points
C A computer program
D A mathematical formula

14 Which of these is an example of 'ordinal' data?

A City name
B Customer satisfaction rating (e.g., 'Poor', 'Fair', 'Good')
C Number of items purchased
D Yes/No response

15 What is a 'feature' in a dataset?

A A unique identifier for a row
B A single data point
C A measurable characteristic or attribute of an observation
D The entire dataset

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