Data Science Quiz 1

The post is about the Data Science Quiz. There are 20 multiple-choice type questions covering topics related to data science, statistics, data science software, exploratory data analysis, machine learning, etc. Let us start with the Data Science Quiz now.

Data Science Online Quiz with Answers

1. What are the two goals of exploratory data analysis?

 
 
 
 

2. An analyst on your team engages in exploratory data analysis of a dataset. The EDA inspires him to ask a new question about the data so he begins the data analysis process on this same dataset and goes through the 5 phases.

What is wrong with this approach?

 
 
 

3. Which part is NOT part of the data analysis process?

 
 
 
 

4. Statistical inference is defined as:

 
 
 
 

5. Data science is

 
 
 
 
 

6. Some ways we can declare success in data science include

 
 
 

7. Supervised machine learning algorithms focus on

 
 
 

8. What is the benefit of building software packages for data analysis?

 
 
 

9. What role does software engineering play in data science?

 
 
 

10. The outputs of a data science experiment often include

 
 
 

11. The broad areas of statistics are:

 
 
 
 
 

12. A way to obtain generalizability of an ML algorithm

 
 

13. Traditional statistical approaches often differ from ML approaches by

 
 
 

14. Randomization of a treatment in a design is used for:

 
 

15. What are some examples of languages designed for data analysis?

 
 
 
 
 

16. Predictions are typically evaluated by:

 
 
 

17. When should you consider developing a software package?

 
 
 

18. A negative outcome from a data science experiment would include

 
 
 
 

19. The two broad categories of machine learning

 
 
 

20. Descriptive analysis includes which activities

 
 
 

Online Data Science Quiz with Answers

  • Data science is
  • The broad areas of statistics are:
  • Descriptive analysis includes which activities
  • Statistical inference is defined as:
  • Predictions are typically evaluated by:
  • Randomization of a treatment in a design is used for:
  • The two broad categories of machine learning
  • Supervised machine learning algorithms focus on
  • A way to obtain generalizability of an ML algorithm
  • Traditional statistical approaches often differ from ML approaches by
  • What role does software engineering play in data science?
  • What is the benefit of building software packages for data analysis?
  • When should you consider developing a software package?
  • A negative outcome from a data science experiment would include
  • What are some examples of languages designed for data analysis?
  • What are the two goals of exploratory data analysis?
  • Which part is NOT part of the data analysis process?
  • The outputs of a data science experiment often include
  • Some ways we can declare success in data science include
  • An analyst on your team engages in exploratory data analysis of a dataset. The EDA inspires him to ask a new question about the data so he begins the data analysis process on this same dataset and goes through the 5 phases. What is wrong with this approach?
Data Science Quiz with Answers

Statistics for Data Analysts

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