Creating a portfolio website is a great way to showcase your data analytics skills to employers. This article will explore some tips for doing so, as well as elements to include in your online data analytics profile.

What is a Data Analyst Portfolio?

If you’re in the market for a job in data analytics, most employers will ask to see your resume and professional portfolio. That’s why it’s essential to have an engaging, well-rounded portfolio available to highlight your relevant work experience, technical training, and background working with data. Because data analytics is a hands-on profession, most employers want to see evidence that extends beyond the summaries in your resume to demonstrate your skills and qualifications. While some choose to display their talents on paper, creating a website that houses your portfolio is becoming increasingly common.

An online portfolio has many benefits. Instead of having to physically deliver your portfolio to various employers or email them links to previous projects and risk formatting inconsistencies, establishing a website to display your data analytics experience is an accessible alternative that ensures anyone with the link can see your work in the format you intended. In addition, an online-based portfolio affords options a print version can’t, such as hyperlinks, visuals, or short videos that would be difficult to include in print.

What Should Your Data Analyst Portfolio Website Include?

While there isn’t one “right” way to structure your data analytics website portfolio, there are some standard components that will convey your passion for working with data and demonstrate to employers that you have a language with which to talk about your experience and training. The following are some sections and information to consider including in your online data analytics portfolio:

Enroll in Hands-On Classes to Learn More About Data Analytics

Learning data analytics can open professional doors and lead to upward career mobility. If you want to study how to analyze and visualize data, Noble Desktop’s Python for Data Science Bootcamp is a great option. This intensive, 30-hour course covers core Python skills that are useful for the data sciences, such as an overview of the various data types and how to create data visualizations. Noble also offers an 18-hour SQL Bootcamp in which students learn how to filter data, write SQL queries, and gather insights from data.

For those looking to learn specifically about data analytics, courses such as the Data Analytics Certificate or Data Analytics Technologies Bootcamp are available in-person in NYC, as well as in the live online format. These rigorous learning options cover core data analysis tools like SQL, Excel, and Tableau.

If you’re searching for learning options close to home, a helpful resource for finding live online or in-person data analytic courses is Noble’s Classes Near Me tool. More than 340 courses are currently listed by Noble and other top educational providers in topics such as data visualization and data analytics, among others.