The Data Scientist's Toolbox Quiz 1 (Week 1) John Hopkins Data Science Specialization Coursera for the github repo https://github.com/mGalarnyk/datasciencecoursera/tree/master/1_Data_Scientist_Toolbox

quiz1.md

The Data Scientist's Toolbox Quiz 1 (JHU) Coursera

github repo for rest of specialization: Data Science Coursera

Question 1

Which of the following are courses in the Data Science Specialization? Select all that apply:

• Business Analytics
• Python Programming
• Developing Data Products (previously known as Building Data Products)
• R programming

Answers:
Developing Data Products (previously known as Building Data Products)
R programming

Question 2

Why are we using R for the course track? Select all that apply.

• R has a nice IDE, Rstudio
• Packages are easy to install and "play nicely" together
• R allows object oriented programming
• R is the best cloud computing language

Answers:
R has a nice IDE, Rstudio
Packages are easy to install and "play nicely" together

Question 3

What are good ways to find answers to questions in this course track? Select all that apply.

• Looking through R help files
• Expecting every answer to be in a lecture slide
• Asking a skilled friend
• Posting homework assignments to mailing lists

Answers:
Looking through R help files
Asking a skilled friend

Question 4

What are characteristics of good questions on the message boards? Select all that apply.

• Is an exact homework question
• Is polite and courteous
• Explicitly lists versions of software being used
• Provides no details

Answers:
Is polite and courteous
Explicitly lists versions of software being used

Question 5

Which of the following packages provides machine learning functionality? Select all that apply

• knitr
• cacheSweave
• gbm
• pamr

Answers:
gbm
pamr