1.
In a dataset, what does the term "skewness" indicate?
The average value of the dataset
The symmetry or asymmetry of the data distribution
The total number of data points
The relationship between two variables
2.
Which of the following is a common challenge in data analysis?
Data redundancy
Data integrity issues
Incomplete data
All of the above
3.
Which of the following is an example of a quantitative data type?
Customer reviews
Product colors
Revenue in dollars
Employee job titles
4.
Which of the following is a key aspect of exploratory data analysis (EDA)?
Collecting new data
Testing hypotheses
Summarizing the main characteristics of data
Building predictive models
5.
What does SQL stand for?
Structured Query Language
Statistical Query Language
Simple Query Language
System Query Language
6.
What is the purpose of data normalization?
To protect sensitive data from unauthorized access
To scale data to a common range to improve model performance
To store the actual data values in a database
To develop marketing strategies based on customer data
7.
What is the purpose of a data pipeline?
To store the actual data values in a database
To automate the process of moving and transforming data from different sources to a destination
To develop marketing strategies based on customer data
To visualize data using charts and graphs
8.
What does R-squared represent in a regression analysis?
The slope of the regression line
The strength of the relationship between variables
The probability of error
The standard deviation of residuals
9.
What is the purpose of data cleaning in the data analysis process?
To make the data visually appealing in reports
To identify and correct errors and inconsistencies in the data
To store the data in a secure and organized manner
To visualize the data using charts and graphs
10.
Which of the following is NOT a common tool used by Data Analysts?
Microsoft Excel
Python
Adobe Photoshop
SQL
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