The Data Scientist’s Toolbox Coursera Quiz Answers 2022 | All Weeks Assessment Answers [💯Correct Answer]

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Here, you will find The Data Scientist’s Toolbox Exam Answers in Bold Color which are given below.

These answers are updated recently and are 100% correct✅ answers of all week, assessment, and final exam answers of The Data Scientist’s Toolbox from Coursera Free Certification Course.

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About The Data Scientist’s Toolbox Course

This course will introduce you to the fundamental techniques and concepts used by data scientists. The course introduces students to the types of information, research questions, and analysis techniques used by data analysts and scientists.

Course Apply Link – The Data Scientist’s Toolbox

The Data Scientist’s Toolbox 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 isnÂ’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
  • .RPROJECT

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](link.com)
  • (link.com)[text that is shown]
  • (text that is shown)[link.com]

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

More About This Course

This course will introduce you to the fundamental techniques and concepts used by data scientists. The course introduces students to the types of information, research questions, and analysis techniques used by data analysts and scientists. This course is split into two parts. The first provides a high-level overview of the concepts underlying the transformation of raw data into useful insights. The second is a hands-on orientation to the software packages (such as version control, markdown, git, GitHub, R, and RStudio) that will be utilized during the course of the program.

This class is a component of several different sets of studies.

You can use this class for several different Specializations or Professional Certificates. The following courses will recognize this course’s completion as credit:

  • Data Science Specialization
  • Data Science: Foundations using R Specialization

Here’s What You’ll Discover

  • Install and configure R, R Studio, Github, and other necessary software
  • Learn about the information, challenges, and resources that data analysts rely on
  • Defend crucial ideas in experimental design
  • Build a repository on Github.

SKILLS YOU WILL Gain

  • Research Based on Scientific Data
  • GitHub
  • Computing using R
  • Rstudio

Conclusion

Hopefully, this article will be useful for you to find all the Week, final assessment, and Peer Graded Assessment Answers of The Data Scientist’s Toolbox Quiz of Coursera and grab some premium knowledge with less effort. If this article really helped you in any way then make sure to share it with your friends on social media and let them also know about this amazing training. You can also check out our other course Answers. So, be with us guys we will share a lot more free courses and their exam/quiz solutions also, and follow our Techno-RJ Blog for more updates.

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