How to Build an Effective Data Science Portfolio in Your will to go that extra mile and make the project stand out — Deploying your project for public Andreas Mueller — Sci-kit. Oct 05,  · Neither does taking one class or attending one conference tutorial or analyzing one dataset or reading one book in data science. Working on competition(s) adds to your experience and augments your portfolio. It is a complement to your other projects, not the sole litmus test of one’s data science . Mar 15,  · Projects to Include in a Data Science Portfolio. A data science portfolio should consist of projects that showcase your job-relevant skills. Again, the goal here is to prove you can do the work, so the more your portfolio looks like the day-to-day work of the jobs you’re applying for, the more convincing it’s going to be.
Oct 05,  · Neither does taking one class or attending one conference tutorial or analyzing one dataset or reading one book in data science. Working on competition(s) adds to your experience and augments your portfolio. It is a complement to your other projects, not the sole litmus test of one’s data science . May 07,  · A strong data science portfolio should demonstrate wide range of data science skills, including hands-on project experience with Python Pandas, NumPy, Sci-Kit, SciPy, R programming language or any other related analysis tools like MATLAB. The portfolio should clearly highlight your working experience with large datasets (that cannot be fit into an excel spreadsheet) or unstructured data. How to Build an Effective Data Science Portfolio in Your will to go that extra mile and make the project stand out — Deploying your project for public Andreas Mueller — Sci-kit.

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