Building a data science portfolio

Companies are increasingly filling technical roles by focusing on skills-based criteria. A portfolio is the best way to judge someone’s real-world skills, which means, developing your portfolio could be the key to landing your dream job.

The first step in making a high-quality portfolio is to know what skills to demonstrate. The primary skills that companies are looking for in data professionals are:

• Ability to communicate
• Ability to collaborate with others
• Technical competence
• Ability to reason about data
• Motivation and ability to take initiative

Any good portfolio will be composed of multiple projects, each of which may demonstrate 1-2 of the above points. In the following posts, we will walk you through the steps needed to craft and publish a portfolio that will get you noticed.

More in this series:

• Building a data science portfolio
• What employers look for in a portfolio
• Creating your first project
• Project walkthrough – Stock Prediction
• Publishing your project on GitHub
• Presenting and marketing your portfolio