Data Science Portfolio
Overview
1 Prepare
2 Introduction
- 2.1 Introducing Digital Portfolios
- 2.2 Approach
3 Setting Your Goals
4 Content
5 Platforms
- 5.1 Platform Considerations
- 5.2 Platform Types
6 Examples
- 6.1 Examples of Data Science Portfolios
7 Getting Feedback
- 7.1 Asking for Feedback
- 7.2 Using Feedback
8 Plan Your Portfolio
- 8.1 Develop Your Plan
- 8.2 Strategies for sensitive data and projects that can’t be shared
9 Share
- 9.1 Ways to Share
10 Time to Work
11 Additional Resources

Developing Your Data Science Portfolio

9 Share

Once you have completed your portfolio, you are ready to share it with potential employers and your community. Feeling some anxiety over this step is fairly common, so if you’re feeling anxious, consider sharing your portfolio in phases starting with the people you are most comfortable with and then expanding as you become more certain that your portfolio represents you well.

9.1 Ways to Share

Link in your resume or CV
Social media posts (e.g., “I just made my first digital portfoilio! Check it out at [url]!”)
Link on your website and/or your online profiles for LinkedIn, social media, etc.
Link in your email signature
Link landing pages like Linktree or Koji