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 some examples of languages designed for data analysis?

 
 
 
 
 

2. Statistical inference is defined as:

 
 
 
 

3. When should you consider developing a software package?

 
 
 

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

 
 
 

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

 
 
 
 

6. A way to obtain generalizability of an ML algorithm

 
 

7. 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?

 
 
 

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

 
 

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

 
 
 
 

10. Traditional statistical approaches often differ from ML approaches by

 
 
 

11. The outputs of a data science experiment often include

 
 
 

12. Data science is

 
 
 
 
 

13. Supervised machine learning algorithms focus on

 
 
 

14. Predictions are typically evaluated by:

 
 
 

15. The broad areas of statistics are:

 
 
 
 
 

16. Descriptive analysis includes which activities

 
 
 

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

 
 
 
 

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

 
 
 

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

 
 
 

20. The two broad categories of machine learning

 
 
 

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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