Build Your Data Science Portfolio

Your data science skills mean little to employers if they can't see them in action. In this hands-on course from Anaconda, discover how to build a portfolio that showcases your work and helps you stand out. Learn how to select and curate projects that demonstrate specific skills, then present them so they tell a clear story. Explore how to find datasets in data catalogs, build interactive dashboards with Panel, and communicate your findings to both technical and non-technical audiences. Along the way, learn how to design clear, uncrowded visualizations, account for accessibility such as colorblindness, frame your projects for a career transition into tech, and publish your work across media so the right people find it. By the end of this course, you'll be prepared to plan, build, and present a compelling portfolio. This intermediate-level course is ideal for aspiring data scientists, career changers, students, and anyone pursuing a data career.

Learning objectives
Curate and select projects that prove targeted skills.
Find suitable datasets using data catalogs.
Build interactive dashboards with Panel.
Communicate results to technical and non-technical audiences.
Design clear, accessible visualizations.
Frame a portfolio for a career transition into data science.