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Build Your Data Science Portfolio

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Free Download Build Your Data Science Portfolio

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Build Your Data Science Portfolio, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 8/2026
With Anaconda, Inc
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 56m | Size: 143.2 MB


Learn how to build a data science portfolio that gets you hired. Discover how to choose projects, tell a clear story with your work, and showcase the skills employers want.

Course details


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.This course was created by Anaconda, Inc. We are pleased to host this training in our library.

Skills covered


Data Science

Homepage

https://www.linkedin.com/learning/build-your-data-science-portfolio


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