Getting into AI and data can feel overwhelming—there’s a lot to learn, and a lot of places to learn it. And it usually starts with one simple step: trying it. That’s why 365 Data Science free courses are a good first step before committing to a subscription.
The next question is usually: can you actually learn something useful for free?
Here’s the honest answer: yes—there’s a lot you can do without paying. On 365 Data Science, you can start learning AI and data with free lessons, free course previews, and free practice (including interactive exercises and real AI & data projects). It’s meant to help you build momentum first—before you ever pay.
365 Data Science is accredited by six international bodies: 
What you can do with 365 Data Science for free
When you sign up for free, you can get hands-on right away. Most learners use the free access to:
- Access free course sections (mostly intro ones)
- watch free course lessons
- practice with interactive exercises
- try practice exams
- explore free projects
- use learning resources like course notes
- take the free career quiz to figure out which path fits best
In other words: free access isn’t just “watch a video.” It’s designed to let you try the learning experience.
The easiest way to start
If you’re not coming from a technical background, don’t overthink it. Start with one beginner-friendly course, get a quick win, then build from there.
A good place to begin is Python 101 —it’s made for complete beginners, with simple lessons and hands-on practice.
From there, you can keep exploring with other free sections across the catalog. For example, you can access:
- the first three sections of Introduction to Data and Data Science (including exercises and a practice exam)
- over an hour of beginner-friendly content from Statistics
- dozens of free lessons and exercises in AI Agents in Practice
- nearly an hour of AI Strategy (the first two sections)
- around 80 minutes of Power BI lessons
- almost 2 free hours from The Complete Data Visualization Course, including lessons, exercises, practice exams, and real-world examples
If you’re unsure what to pick, go with this simple order: Intro to Data → Python → SQL (next). It’s one of the most reliable ways to start building real momentum—without getting overwhelmed.
Free projects you can try now
One of the best ways to figure out if this field is for you is to do one small project—something that feels like real work.
Here are examples of free AI and data science projects you can start with:
- Using ChatGPT for Work
- Newsfeed Analysis in Tableau
- Calculating Free-to-Paid Conversion Rate with SQL
- Customer Engagement Analysis in Excel
- Career Track Analysis with SQL and Tableau
- Prime Numbers in Python
- Formatting Data in Excel
These are great because you don’t just learn concepts—you produce something tangible.
Free learning tools
Free learning is only useful if you can actually stick with it. That’s why the platform includes tools that make “little sessions” count:
- Flashcards for quick review when you’re short on time
- Course notes
- Coding templates so you’re not wasting time setting things up
- Career guides to understand real roles and next steps
- AI mock interview tool to practice in a low-pressure way
What’s not included in free access
The Free Plan is great for trying the platform and getting started—but it doesn’t unlock everything. In most cases, the full certificate and assessment experience sits inside the paid plans, including:
- Full access to all courses, projects, and resources (not just previews/selected content)
- All graded exams needed to earn Course Certificates and Career Track Certificates
- Full Career Track completion (the structured, role-based paths end-to-end)
If your goal is to earn accredited certificates and complete an entire Career Track, you’ll want to upgrade once you’ve tested the platform and you’re ready to go deeper.
Not sure if it’s worth it? Here’s what graduates say:
365 Data Science is the #1 most reviewed and highest-rated online AI & data learning platform on Trustpilot.
Why 365 Data Science feels different (even on the Free Plan)
A lot of platforms give you content. 365 Data Science is built to give you a system—so you don’t end up bouncing between random lessons and quitting after two weeks.
Even before you upgrade, you’ll notice the platform is designed around real progress:
you learn a concept, practice it right away, then check your understanding with quick assessments. And because everything is self-paced and available anytime, it works for real schedules—commutes, lunch breaks, late nights, weekends.
It’s also not a “courses-only” experience. 365 combines structured learning paths, interactive practice, real projects, and career tools in one place—so when you’re ready to go beyond free content, you’re not starting over on a different platform.
Final takeaway
If you’re here for 365 Data Science free courses, the best move is simple: sign up, try a few lessons, and do one project. That’s the fastest way to go from “research mode” to “I’m actually learning.”
And if you like the experience, you’ll know exactly what upgrading would unlock—because you’ve already tested the platform first.
