Coursera Google Data Analytics Professional Data Analysis with R Programming (Week 1) Quiz Answer-Programming and data analytics.

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1. Coursera: Machine Learning
2. Google Data Analytics Professional Certificate. 

1.Programming and data analytics.

Question 1

A data analyst uses words and symbols to give instructions to a computer. What are the words and symbols known as?

• Programming language
• Syntax language
• Function language
• Coded language

Programming languages are the words and symbols you use to write instructions for computers to follow.

 

Question 2

Many data analysts prefer to use a programming language for which of the following reasons? Select all that apply.

• To clarify the steps of an analysis
• To choose a topic for analysis
• To easily reproduce and share an analysis
• To save time

Many data analysts prefer to use a programming language in order to easily reproduce and share an analysis, save time, and clarify the steps of an analysis.

 

Question 3

Which of the following are benefits of open-source code? Select all that apply.

• Anyone can use the code for free
• Anyone can fix bugs in the code
• Anyone can pay a fee for access to the code
• Anyone can create an add-on package for the code

The benefits of open-source code include the following: anyone can use the code for free, fix bugs in the code, and create add-on packages for the code.

 

Question 4

Fill in the blank: The benefits of using _____ for data analysis include the ability to quickly process lots of data and create high quality visualizations.

• the R programming language
• structured query language
• a spreadsheet
• a dashboard

The benefits of using the R programming language for data analysis include the ability to quickly process lots of data and create high quality visualizations.

 

Question 5

A data analyst needs to quickly create a series of scatterplots to visualize a very large dataset. What should they use for the analysis?

• Structured query language
• R programming language
• A slide presentation
• A dashboard

The analyst should use the R programming language to quickly create a series of scatterplots to visualize a very large dataset. R can quickly process lots of data and create high quality visualizations.

 

Question 6

RStudio’s integrated development environment lets you perform which of the following actions? Select all that apply.

• Install R packages
• Stream online videos
• Import data from spreadsheets
• Create data visualizations

RStudio’s integrated development environment lets you install R packages, import data from spreadsheets, and create data visualizations.

 

Question 7

In which two parts of RStudio can you execute code? Select all that apply.

• The source editor pane
• The environment pane
• The plots pane
• The R console pane

In RStudio, you can execute code in the R console pane and the source editor pane.

 

Question 8

Fill in the blank: In RStudio, the _____ is where you can find all the data you currently have loaded, and can easily organize and save it.

• plots pane
• environment pane
• source editor pane
• R console pane

In RStudio, the environment pane is where you can find all the data you currently have loaded, and can easily organize and save it.

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