Data Science Fundamentals

Test your knowledge on key concepts and techniques in the field of data science, from data lifecycle to machine learning algorithms.

Flashcards36 cardsFPractice quizPHost liveL

Questions 36

Answers

1
What is a neural network inspired by?
Weather patterns
Computer
Human brain
Animal instincts
2
What does a histogram display?
Distribution of a variable
Trends over time
Categorical data
Relationships between variables
3
What is the primary goal of data science?
To collect data
To visualize data
To clean data
To extract knowledge
4
What can cause bias in data?
Perfect data
Random errors
Systematic errors
Complete data
5
Why is data visualization crucial?
To hide data
To confuse viewers
To communicate findings
To delete data
6
What is sentiment analysis?
Text processing
Numerical analysis
Data cleaning
Data storage
7
Which library is used for data manipulation?
Matplotlib
Scikit-learn
Pandas
NumPy
8
True or false: A scatterplot shows single variable distribution.
False
True
9
What is the mean in statistics?
Middle value
Spread of data
Most frequent value
Average of values
10
What does mean measure?
Middle value
Average value
Most frequent value
Spread of values
11
True or false: Data cleaning is optional for reputable data.
True
False
12
What does a decision tree represent?
A linear equation
A flowchart-like structure
A data collection method
A type of visualization
13
Which technique helps mitigate bias?
Ignoring data
Diverse data collection
Random sampling
Using only one source
14
What does bias in data lead to?
Better insights
Unfair outcomes
Fair outcomes
Accurate results
15
Why is data cleaning essential?
To confuse analysts
To delete data
To ensure accuracy
To add errors
16
What is the first step in the data science lifecycle?
Data Presentation
Data Collection
Data Cleaning
Data Analysis
17
Which is a common source of data?
Only databases
Only sensors
Surveys
Only APIs
18
What is a real-world application of data science?
Gardening
Healthcare
Painting
Cooking
19
What is a fairness metric?
Data cleaning tool
Bias detection
Visualization method
Storage solution
20
What is a decision tree?
Flowchart structure
Random process
Data cleaning
Data storage
21
What is a neural network inspired by?
Data visualization
Statistical models
Computer algorithms
Human brain structure
22
What is a histogram used for?
Relationship between variables
Single variable distribution
Trends over time
Category comparison
23
Which method helps in understanding complex data?
Data Collection
Data Visualization
Data Cleaning
Data Analysis
24
True or false: Data cleaning is optional.
True
False
25
What is the first step in the data lifecycle?
Data Collection
Data Presentation
Data Analysis
Data Cleaning
26
What does regression predict?
Random value
Continuous output
Categorical label
Binary outcome
27
What is variance in statistics?
Average of values
Most frequent value
Spread of data points
Middle value
28
What graph shows temperature trends?
Bar chart
Scatterplot
Line graph
Histogram
29
What does a line graph show?
Distribution of data
Categorical comparisons
Single variable analysis
Trends over time
30
What does data privacy protect?
Public information
Company secrets
Personal information
Weather data
31
What is probability?
Certainty
Impossibility
Randomness
Likelihood of event
32
What is a Python variable?
Output
Comment
Data type
Storage location
33
Which is a common data source?
Paintings
Movies
Databases
Books
34
What is the role of fairness metrics?
To ignore bias
To ensure equal performance
To enhance privacy
To complicate models
35
What is the purpose of data cleaning?
To make data messy
To ignore errors
To ensure data quality
To complicate analysis
36
What does NumPy specialize in?
Data visualization
Web development
Text processing
Numerical operations

Data Science Fundamentals Flashcards | StudBud

Data Science Fundamentals

36 termsStudBud Administration

Test your knowledge on key concepts and techniques in the field of data science, from data lifecycle to machine learning algorithms.

Flashcards36 cardsFPractice quizPHost liveL

Questions 36

Answers

1
What is a neural network inspired by?
Weather patterns
Computer
Human brain
Animal instincts
2
What does a histogram display?
Distribution of a variable
Trends over time
Categorical data
Relationships between variables
3
What is the primary goal of data science?
To collect data
To visualize data
To clean data
To extract knowledge
4
What can cause bias in data?
Perfect data
Random errors
Systematic errors
Complete data
5
Why is data visualization crucial?
To hide data
To confuse viewers
To communicate findings
To delete data
6
What is sentiment analysis?
Text processing
Numerical analysis
Data cleaning
Data storage
7
Which library is used for data manipulation?
Matplotlib
Scikit-learn
Pandas
NumPy
8
True or false: A scatterplot shows single variable distribution.
False
True
9
What is the mean in statistics?
Middle value
Spread of data
Most frequent value
Average of values
10
What does mean measure?
Middle value
Average value
Most frequent value
Spread of values
11
True or false: Data cleaning is optional for reputable data.
True
False
12
What does a decision tree represent?
A linear equation
A flowchart-like structure
A data collection method
A type of visualization
13
Which technique helps mitigate bias?
Ignoring data
Diverse data collection
Random sampling
Using only one source
14
What does bias in data lead to?
Better insights
Unfair outcomes
Fair outcomes
Accurate results
15
Why is data cleaning essential?
To confuse analysts
To delete data
To ensure accuracy
To add errors
16
What is the first step in the data science lifecycle?
Data Presentation
Data Collection
Data Cleaning
Data Analysis
17
Which is a common source of data?
Only databases
Only sensors
Surveys
Only APIs
18
What is a real-world application of data science?
Gardening
Healthcare
Painting
Cooking
19
What is a fairness metric?
Data cleaning tool
Bias detection
Visualization method
Storage solution
20
What is a decision tree?
Flowchart structure
Random process
Data cleaning
Data storage
21
What is a neural network inspired by?
Data visualization
Statistical models
Computer algorithms
Human brain structure
22
What is a histogram used for?
Relationship between variables
Single variable distribution
Trends over time
Category comparison
23
Which method helps in understanding complex data?
Data Collection
Data Visualization
Data Cleaning
Data Analysis
24
True or false: Data cleaning is optional.
True
False
25
What is the first step in the data lifecycle?
Data Collection
Data Presentation
Data Analysis
Data Cleaning
26
What does regression predict?
Random value
Continuous output
Categorical label
Binary outcome
27
What is variance in statistics?
Average of values
Most frequent value
Spread of data points
Middle value
28
What graph shows temperature trends?
Bar chart
Scatterplot
Line graph
Histogram
29
What does a line graph show?
Distribution of data
Categorical comparisons
Single variable analysis
Trends over time
30
What does data privacy protect?
Public information
Company secrets
Personal information
Weather data
31
What is probability?
Certainty
Impossibility
Randomness
Likelihood of event
32
What is a Python variable?
Output
Comment
Data type
Storage location
33
Which is a common data source?
Paintings
Movies
Databases
Books
34
What is the role of fairness metrics?
To ignore bias
To ensure equal performance
To enhance privacy
To complicate models
35
What is the purpose of data cleaning?
To make data messy
To ignore errors
To ensure data quality
To complicate analysis
36
What does NumPy specialize in?
Data visualization
Web development
Text processing
Numerical operations