Data Analytics Quiz 1

The post is about MCQs Data Analytics Quiz. There are 20 multiple-choice questions for preparation for various subjects related to BS Data Analytics Degree Programs. Let us start with the Data Analytics Quiz.

Online MCQs Data Analytics Quiz with Answers

1. In a situation where a data analyst wants to test whether the population mean is lower than some hypothesized value, the data analyst would employ.

 
 
 
 

2. What type of data professional is responsible for organizing information and making it accessible?

 
 
 
 

3. Data Analytics uses ————- to get insights from data.

 
 
 
 

4. As a data analyst, you work with data about the life expectancy of sea turtles in the Coral Triangle. The dataset contains an estimated birthdate and death date for all tracked sea turtles. With the data you have, what questions are you able to answer?

 
 
 
 

5. What does a data professional do when cleaning data?

 
 
 
 

6. Amongst which of the following is/are not a major data analysis approach?

 
 
 
 

7. How would a data professional practice active listening?

 
 
 
 

8. A data professional is working on a project that involves labeling thousands of books by their various book genres. What type of variable should they use when working with this dataset?

 
 
 
 

9. What is the primary goal of active listening?

 
 
 
 

10. A data professional practices active listening when they allow others to —————- before offering a response.

 
 
 
 

11. What type of variables would a data professional use to classify types of homes, such as apartments, single-family, or townhouses?

 
 
 
 

12. Which of the following processes helps ensure a close alignment of data and business objectives?

 
 
 
 

13. A data professional uses a scatterplot to plot residuals and predicted values from a regression model to check for homoscedasticity and finds that this assumption is met. What shape do the points in the scatterplot appear as?

 
 
 
 

14. In order to have a strong and thorough analysis, a data analyst must verify ————-.

 
 
 
 

15. Which of the following are data engineer responsibilities?

 
 
 
 

16. Data engineers are responsible for making data —————.

 
 
 
 

17. Insights or ————— team managers supervise an organization’s analytical strategy.

 
 
 
 

18. Which model might a data professional consider first if the outcome variable is binary?

 
 
 
 

19. A data professional testing for linear regression assumptions plots their dependent variable against their independent variable and notices that the graph appears as an upward curve. Which model assumption does this invalidate?

 
 
 
 

20. A data professional minimizes the sum of squared residuals to estimate parameters in a linear regression model. What method are they using?

 
 
 
 

Online Data Analytics Quiz with Answers

  • As a data analyst, you work with data about the life expectancy of sea turtles in the Coral Triangle. The dataset contains an estimated birthdate and death date for all tracked sea turtles. With the data you have, what questions are you able to answer?
  • Which of the following processes helps ensure a close alignment of data and business objectives?
  • Data engineers are responsible for making data —————.
  • Insights or ————— team managers supervise an organization’s analytical strategy.
  • What type of data professional is responsible for organizing information and making it accessible?
  • In order to have a strong and thorough analysis, a data analyst must verify ————-.
  • How would a data professional practice active listening?
  • Which of the following are data engineer responsibilities?
  • A data professional practices active listening when they allow others to —————- before offering a response.
  • What does a data professional do when cleaning data?
  • What is the primary goal of active listening?
  • A data professional uses a scatterplot to plot residuals and predicted values from a regression model to check for homoscedasticity and finds that this assumption is met. What shape do the points in the scatterplot appear as?
  • A data professional minimizes the sum of squared residuals to estimate parameters in a linear regression model. What method are they using?
  • A data professional testing for linear regression assumptions plots their dependent variable against their independent variable and notices that the graph appears as an upward curve. Which model assumption does this invalidate?
  • Which model might a data professional consider first if the outcome variable is binary?
  • What type of variables would a data professional use to classify types of homes, such as apartments, single-family, or townhouses?
  • A data professional is working on a project that involves labeling thousands of books by their various book genres. What type of variable should they use when working with this dataset?
  • In a situation where a data analyst wants to test whether the population mean is lower than some hypothesized value, the data analyst would employ.
  • Data Analytics uses ————- to get insights from data.
  • Amongst which of the following is/are not a major data analysis approach?
Data Analytics Quiz with Answers

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Data Analytics Quizzes 2025

The post is about the Data Analytics Quizzes list. Each data Analytics Quiz is of multiple-choice type questions. To start with a quiz click on the links below.

Online Data Analytics Quizzes

Data Analytics Quiz 1
Data Analytics Quizzes

Data Analytics Definition

Data analytics is the process of collecting, analyzing, and interpreting data to find patterns, trends, and relationships between them. It is a multidisciplinary field that uses tools and techniques from mathematics, statistics, and computer science.

Data analytics can include

  • Data analysis: Working with data to glean useful information
  • Data science: High-level analysis
  • Data engineering: Creating the frameworks needed to store data
  • Data mining: Extracting usable data from a large dataset
  • Data modeling: Diagramming data flows
  • Data visualization: Presenting data in a clear picture using visuals like bar graphs, pie charts, and tables

Note that Data analytics can help:

  • Improve decision-making
  • Gain a deeper understanding of their processes and services
  • Identify new opportunities
  • Build related digital products
  • Create personalized customer experiences
  • Harness cost savings
  • Optimize operations
  • Increase employee productivity

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