Data Scientist’s Toolbox Quiz 1

This is Quiz 1 from the Data Scientist’s toolbox course within the Data Science Specialization. This publication is intended as a learning resource, all answers are documented and explained.

Questions


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


  • Getting and Cleaning Data

  • Developing Data Products

  • R programming


Explanation:

Self-explanatory


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


  • R is free.

  • R has a large number of add on packages that are useful for data analysis.

  • R has a nice IDE, Rstudio.


Explanation:

R is open source and has a great community and IDE.


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


  • Searching Google.

  • Posting to the course discussion forum

  • Searching Stack Overflow


Explanation:

Self-explanatory


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


  • Is very specific.

  • Is polite and courteous.


Explanation:

Self-explanatory


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


  • kernlab

  • pamr

  • rpart


Explanation:

Check Here: http://www.kdnuggets.com/2015/06/top-20-r-machine-learning-packages.html for a more comprehensive list.


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