What career paths can I take with data science?
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Data science has always been about turning data into better decisions—using tools like Excel, SQL, Python, and statistics to spot patterns and explain what’s happening in a business.
AI is the next step: it builds on those same data foundations, using machine learning and generative models to predict outcomes, automate workflows, and create new ways to work. That’s why AI and data skills now go hand in hand—and why so many of today’s roles combine both.
Are you a good match for an AI & data job? Here’s a career quiz you can take to find out.
And if you’re exploring your next career move, you’re in the right place: 365 Data Science are the #1 most reviewed AI and data courses on Trustpilot.
We researched the most in-demand skills for today’s AI and data roles. Then, we created a structured way to prepare you for the job you want by breaking it down into career tracks. Here are our most popular options:
- AI engineer
- AI agent engineer
- Data engineer
- ML scientist
- Power BI developer
- Tableau developer
- Data scientist
- Data analyst
- Business analyst
- Senior data scientist
- Senior data analyst
No matter which career track you choose, if you take the time to prepare, you can become a strong hiring prospect for some of the world’s leading companies.
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