If You're Gonna Build it, Make it Count!
Hey there, aspiring data enthusiasts! If you're itching to dive into the tech world, especially in data analysis and data sciences and AI, you probably know it's not as simple as just flashing a degree or a couple of online certificates. Employers want to see real projects, not just another churn on datasets used a million times already (touch the Titanic dataset and you'll end up at the bottom of the Application Ocean). But don't fret; I have a golden ticket for you - working with small non-profits and charities. Let's explore how you can gain real-world experience and make a difference simultaneously!
The Struggle of Breaking into the Data Ecosystem
When you're fresh in the data game, it's tough to stand out. Sure, analyzing a common dataset might teach you the ropes, but employers yawn at the sight of it. So how can you stand out? The answer lies in looking where others don't.
Think Small, Act Big
It's time to turn your attention to the smaller, local non-profits and charities. These organizations often lack big data teams and could truly benefit from your skill set. And what's in it for you? Real, impactful projects.
Local Charities: Start by building a scraper and creating a database of at least 100 local or nearby charities and non-profits.
International Opportunities: If you're looking for remote opportunities, extend your scope internationally.
Align with Your Interests: Passionate about a particular cause? Tailor your efforts to those charities that resonate with your heart and build your database accordingly.
Offer Your Skills, Build Your Portfolio
What you might lack in professional experience, you can make up for in initiative and creativity. Offer your data skills to these organizations for "free", but don't think of it as working without payment.
Build Credibility: Your projects will be real, tangible, and credible. It's not just another student project; it's something that made a difference.
Gain Recommendations: Ask for your name on possible publishing and a recommendation on LinkedIn and other social platforms.
The Compound Interest of Credibility
Think of your efforts as an investment that grows over time. The projects you build will not only enhance your portfolio but also create lasting relationships with organizations. It's more than just a one-time gig; it's about building a network and reputation.
Conclusion: Make it Count!
Embarking on your data journey can be challenging, but it doesn't have to be an uphill battle. By working with small non-profits and charities, you create win-win situations. They get much-needed data expertise, and you get the experience and credibility that can truly make your CV shine.
Key Takeaways:
Seek opportunities beyond common datasets; think local and personal.
Your real-world projects will stand out in job applications.
Even if you work for free, the credibility you build will compound interest in your career.
Examples Of Charities and Non-Profits Across Continents
Explore these ideas about small to medium-sized opportunities to make a real impact. Steer away from the big names as they probably have data teams working for them. The more local you go the easier it is to network in person too and if you get into the organizations try moving up within the organizations. I wrote a post about my story here.
North America:
Local food banks
Community health centers
Environmental conservation groups
Small animal shelters
Education initiatives for underprivileged children
South America:
Rainforest protection organizations
Local literacy programs
Small-scale agricultural support groups
Community development organizations
Local healthcare clinics
Europe:
Historic preservation societies
Refugee support organizations
Community arts programs
Mental health initiatives
Local environmental protection groups
Africa:
Water sanitation projects
Community education centers
Small-scale health clinics
Agricultural support initiatives
Wildlife conservation efforts
Asia:
Rural education programs
Community healthcare initiatives
Small disaster relief organizations
Local women empowerment groups
Environmental conservation projects
Australia & Oceania:
Indigenous community support groups
Local marine conservation efforts
Community mental health initiatives
Small wildlife rescue organizations
Education programs for remote communities
These general categories represent opportunities to align your data skills with causes that matter to you. Dive in and explore your local area for specific organizations that fit these descriptions!
The best time to start was 10 years ago, the second best is now! Stop building nonsensical projects with worn-out datasets and make your projects count and build your reputation instead of doing them nonsensical ones at home alone anyways.
I hope this gave you a spark to start something that can actually help you on your career. Comment below.
Thank you for reading!