Week - 1
Which of these is NOT one of the main skills embodied by data scientists?
- Artificial intelligence
- Hacking skills
- Substantive expertise
2. What is the most important thing in Data Science?
- The question you are trying to answer
- Statistical inference
- Working with large data sets
3. 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?
4. What’s the first step in the data science process?
- Communicate your findings
- Exploring the data
- Generating the question
5. Which of these is an example of a quantitative variable?
- Latitude
- Occupation
- Educational level
Week - 2
1. What does base R focus on?
- Mapping
- Statistical analysis
- Artificial intelligence
2. What is RStudio?
- A graphical user interface for R
- Version control software
- A programming language
3. What is the name of the quadrant in the bottom left corner of RStudio, in the default layout?
- History
- Plots
- Console
4. What command lists your R version, operating system, and loaded packages?
- versions()
- Sessioninfo()
- sessionInfo()
5. What file extension do Projects in R use?
- .Rproj
- .R
- .RPROJECT
Week - 3
1. 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
2. On 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
3. Which of the following will initiate a git repository locally?
- git init
- git remote add
- git boom
4. 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
5. 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 - 4
1. 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]
2. 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
3. We collect data on all the songs in the Spotify catalogue and want to summarize how many are country western, hip-hop, classic rock, or other.
What type of analysis is this?
- Exploratory
- Descriptive
- Predictive
4. 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
5. 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
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