Skip to content

Phase II technical assessment for data scientist candidates

Notifications You must be signed in to change notification settings

agnlydtan/ds-skill-assess

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

ds-skill-assess

Phase II technical assessment for data scientist candidates

This repository contains a short, notional example of SQL & R files designed to test your technical knowledge of basic data wrangling and version control.

Ground Rules

  • You will have 1 hour to clone the repo, create your own branch, and push your branch back to the remote repo.
  • Please keep all work on your branch. Do not submit a pull request for main.
  • The errors are simple; do not over-think them.
  • Describe your approach in the ReadMe file's section below, as opposed to in-line comments.

Instructions

  1. Clone the repo
  2. From main, create your own branch with [your last name]/submission
  3. Correct errors in the SQL and R script as follows:
  • The SQL contains an error that will not generate correct output to be received by the R file. Please correct the SQL so that its output will match what the R file requires.
  • The R file contains a single series of steps that could be separated into more descriptive functions or otherwise condensed to improve readability and maintainability. Please re-factor the R code to reflect cleaner, more maintainable code without altering functionality. Please feel free to add separate function script files if you think this would help.
  • In the ReadMe file, modify the below section to explain your overall approach. Write as if speaking to a non-technical audience.

NOTE: When making corrections in the SQL or R file, please also consider formatting adjustments that more closely conform to generally accepted style guidance (e.g., indentation, vertical alignment, etc.).

IMPORTANT: You should NOT need to create sample data and you do NOT need to compile your code to ensure it runs. This is not a test of syntax, but of your ability to discover and streamline inefficiency in the data pipeline.

  1. Commit your edits and push your branch back to the remote repo within 1 hour

GOOD LUCK!

About My Submission: [Insert your First Name, Last Name]

Replace with your own narrative

About

Phase II technical assessment for data scientist candidates

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • R 100.0%