A Competitive Data Analysis GitHub Sample

An open laptop sits on a desk.

The Basics

  • Consistent punctuation throughout
  • No grammar or spelling errors 

Compelling Introductory Information

  • A photo or an image other than the default GitHub identicon (A semi-professional to professional photo or an avatar preferred)
  • Email or other contact info is listed in profile.
  • A descriptive tagline, e.g. “Data analyst working primarily in Python”
A screenshot shows what a finished introductory section might look like.

Repositories

  • Student has 3-6 pinned repositories with appropriate name. 
  • The code is organized into an appropriate directory structure.
  • Each repository has a descriptive tagline
A screenshot shows what a finished repositories section might look like.

Code Readability and Standards

  • Variables are clear
  • There is correct white
    spacing indentation
  • Code is clean
A screenshot shows what a finished code section might look like.

README.md Files

  • Each project contains a README file 
  • Those that do not should be unpinned 
  • Each project contains a summary
    that clearly states the problem you’re
    trying to solve
  • If appropriate, each project contains screenshots of the data that you’ve collected and explanations as to why you’ve displayed it in this way
  • If necessary, each project contains technical details required to run the code
A screenshot shows what a finished ReadMe section might look like.

Commits

  • Each repository should have at least five commits
A screenshot shows what a finished commits section might look like.

Commit Histories

  • Regular activity, including continued activity at least once per week after graduation
  • No profanity in commit history
  • Meaningful commit messages
A screenshot shows what a finished commit history section might look like.

Career Stories: How Ingrid Tafuro Owns Her Narrative

When Ingrid Tafuro took a nannying position, she had no idea just how far it could take her. Learn about her journey, work in search engine optimization (SEO), thoughts on transferable skills, and more.

Related Industries: Marketing
Laptop and coffee on desk with graphic frame.

The 8 Must-Have Data Analyst Skills

In the field of data analytics, there are a number of skills and qualities that set great analysts apart from the competition. We have outlined the 8 must-have data analyst skills and habits that can help you become an in-demand and proficient data analyst.

Related Industries: Data
Paper with area to list skills.

Hack Your Resume

Virtual Event

Help Us Improve