Rather than simply telling people what you do, use visuals (where possible) to bring your work to life. Creating an engaging narrative is far more effective than simply linking to pre-existing code (although that’s required, too, of course). The detail of data analytics projects can indeed be a bit mundane at times, but this is why a strong portfolio is so vital. Given the complexity of data analytics, it might seem that a visual portfolio isn’t the best approach. If you want, you can skip straight to the good stuff using the menu below.įirst, though… What’s the point of a data analytics portfolio?Īs the first thing an employer sees, a strong data analytics portfolio needs to highlight your best work. We’ll start by explaining why a data analytics portfolio is so important. While your portfolio should naturally include some strong projects, how you present yourself and your work is just as crucial as the content you’re sharing. This includes screenshots, tips, and examples for how you can show your best side. In this post, we highlight our top nine data analytics portfolios from around the web. While data analytics portfolios are traditionally about highlighting your work, they also need to show off your personality, your communication skills, and your personal brand. Whether you’re a newly qualified data analyst or a seasoned data scientist, you’ll need a portfolio that pops. Seeking some inspiration for your data analytics portfolio?
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