Coursera | Tools for Data Science

Graded Quiz >> Week 2 >> Tools for Data Science

Graded Quiz >> Week 2 >> Tools for Data Science

1. Which are the two most used open source tools for data science?

  • Notepad
  • RStudio
  • Jupyter Notebooks / JupyterLab
  • Spyder
  • VSCode

2. What tool do most R developers use?

  • RStudio
  • Jupyter Notebooks / JupyterLab

3. What tool do most Python developers use?

  • RStudio
  • Jupyter Notebooks / JupyterLab

4. True or false? Jupyter Notebooks / JupyterLab support development in R.

  • True
  • False

5. Which tool unifies documentation, source code and data visualizations into a single document?

  • VSCode
  • Jupyter Notebooks / JupyterLab
  • Notepad

6. Which command is used to install packages in R?

  • package(“package name”)
  • install.packages(“package name”)
  • install(“package name”)
  • install.package(“package name”)

7. Which of the following functions does RStudio provide?

  • Creating relationships between data tables.
  • Editing and execution of R code.
  • Storing data in tables.
  • Documenting R code applications.

8. True or False: The Jupyter Notebook kernel must be installed on a local server.

  • True
  • False

9. Which of the following statements about Jupyter Notebook is correct?

  • Jupyter Notebook is only available if installed locally on your computer.
  • Jupyter Notebook supports the Visualization of data in charts.
  • Jupyter Notebook provides storage of massive quantities of data in data lakes.
  • Jupyter Notebook is a commercial product of IBM.

10. True or false? RStudio supports development in Python.

  • True
  • False

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