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. The two broad categories of machine learning

 
 
 

2. When should you consider developing a software package?

 
 
 

3. Data science is

 
 
 
 
 

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

 
 
 

5. Traditional statistical approaches often differ from ML approaches by

 
 
 

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

 
 
 

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

 
 
 
 

8. Predictions are typically evaluated by:

 
 
 

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

 
 
 

10. Statistical inference is defined as:

 
 
 
 

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

 
 

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

 
 
 
 

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

 
 
 
 
 

14. 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?

 
 
 

15. Descriptive analysis includes which activities

 
 
 

16. A way to obtain generalizability of an ML algorithm

 
 

17. The broad areas of statistics are:

 
 
 
 
 

18. The outputs of a data science experiment often include

 
 
 

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

 
 
 
 

20. Supervised machine learning algorithms focus on

 
 
 

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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