The Data Scientist’s Toolbox Coursera Quiz Answers – Networking Funda

All Weeks The Data Scientist’s Toolbox Coursera Quiz Answers

In this course, you will get an introduction to the main tools and ideas in the data scientist’s toolbox. The course gives an overview of the data, questions, and tools that data analysts and data scientists work with. There are two components to this course.

The first is a conceptual introduction to the ideas behind turning data into actionable knowledge. The second is a practical introduction to the tools that will be used in the program like version control, markdown, git, GitHub, R, and RStudio.

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The Data Scientist’s Toolbox Coursera Quiz Answers

Week 01: Summative Quiz Answers

Q1. Which of these is NOT one of the main skills embodied by data scientists?

  • Artificial intelligence
  • Hacking skills
  • Substantive expertise

Q2. What is the most important thing in Data Science?

  • The question you are trying to answer
  • Statistical inference
  • Working with large data sets

Q3. Which of these might be a good title for a forum post?

  • URGENT! R isn’t working!
  • Removing rows with NAs in data.frame using subset(), R 3.4.3
  • How do I get rnorm() to work?

Q4. What is the first step in the data science process?

  • Communicate your findings
  • Exploring the data
  • Generating the question

Q5. Which of these is an example of a quantitative variable?

  • Latitude
  • Occupation
  • Educational level

Week 02: Summative Quiz Answers

Q1. What does base R focus on?

  • Mapping
  • Statistical analysis
  • Artificial intelligence

Q2. What is RStudio?

  • A graphical user interface for R
  • Version control software
  • A programming language

Q3. What is the name of the quadrant in the bottom left corner of RStudio, in the default layout?

  • History
  • Plots
  • Console

Q4. What command lists your R version, operating system, and loaded packages?

  • versions()
  • Sessioninfo()
  • sessionInfo()

Q5. What file extension do Projects in R use?

  • .Rproj
  • .R

Week 03: Summative Quiz Answers

Q1. What is a good example of a message to accompany a commit?

  • Modified linear model of height to include new covariate, genotype
  • Fixed problem with linear model
  • Updated thing

Q2. Question 2On each repository page in GitHub, in the top right-hand corner there are three options. They are:

  • Watch, star, fork
  • Pull, clone, fork
  • Commit, contributors, issues

Q3. Which of the following will initiate a git repository locally?

  • git init
  • git remote add
  • git boom

Q4. What is the order of commands to send a file to GitHub from within RStudio?

  • Commit > Push
  • Stage > Commit message > Commit > Push
  • Pull > Push > Commit

Q5. How do you add all of the contents of a directory to version control?

  • git add .
  • cd ~/dir/name/of/path/to/file
  • git commit -m “Message”

Week 04: Summative Quiz Answers

Q1. What is the format for including a link that appears as blue text in your markdown document?

  • [text that is shown](
  • ([text that is shown]
  • (text that is shown)[]

Q2. Which of the following describes a predictive analysis?

  • Using data collected in the past to predict values in the future
  • Finding if one variable is related to another one
  • Showing the effect on a variable of changing the values of another variable

Q3. We collect data on all the songs in the Spotify catalog and want to
summarize how many are country-western, hip-hop, classic rock, or other.
What type of analysis is this?

  • Exploratory
  • Descriptive
  • Predictive

Q4. What might a confounder be in an experiment looking at the relationship
between the prevalence of white hair in a population and wrinkles?

  • Age
  • Socioeconomic status
  • Sex

Q5. Which one of the following is an example of structured data?

  • The text from a series of books
  • Lung x-ray images
  • A table of names and student grades
Communication in the 21st Century Workplace Coursera Course Review:

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This course is intended for audiences of all experiences who are interested in learning about new skills in a business context; there are no prerequisite courses.

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