Courses can teach you concepts. Projects prove you can use them.
365 Data Science projects are one of the fastest ways to go from “I’m learning” to “I can actually do the work.” They’re built to feel like real tasks you’d get in a job, analyzing behavior, building dashboards, writing SQL queries that answer business questions, or shipping something AI-powered.
And if you’re new, this is the best part: you don’t need to start with a 15-hour monster project. You can begin with beginner-friendly, free AI and data projects, get a quick win, and build from there.
But first—a quick note from 365’s founder.
"Many of you might have found your way here because you’re thinking about changing careers, asking yourselves how to break into AI and data science, and where even to begin. Congratulations!
By reading this, you’ve just taken your first real step. And I’m here to assure you that with the proper support, that career dream you’ve been quietly holding onto isn’t just possible—it’s something you can achieve without ever hitting pause on your life.
My name is Ned, and I’m 365’s CEO and founder. I built 365 Data Science with a simple thought: what if learning AI and data science in a non-university setting could lead to a real career change?
We’ve seen thousands of our graduates—who started out just like you—go from feeling lost to landing great jobs in AI and data science. It’s genuinely one of the best parts of what we do—watching people grow into careers they once thought were out of reach. You can do it too!"
365 Data Science is an accredited course provider:
What are 365 Data Science projects?
365 Data Science projects are hands-on case studies where you work with real-world-style data and complete a set of tasks, like you would in an AI and data role.
They come in different formats:
- Practice projects (great for skill-building and confidence)
- Course projects (tied to a specific course topic)
- Career Track projects (bigger, more job-simulating projects)
Right now, there are 27+ projects across tools like SQL, Python, Excel, Tableau, R, and modern AI workflows (LLMs, LangChain, LangGraph). They’re available at different difficulty levels, from beginner to advanced, so you can start where you are now.
Projects matter more than finishing courses
A course completion is a personal milestone. A project is something you can point to and say:
- “Here’s the dataset I worked with.”
- “Here’s the analysis I ran.”
- “Here’s the dashboard/model/tool I built.”
- “Here’s what it shows and why it matters.”
That kind of proof is what makes career switching feel less like a leap and more like a step-by-step build.
Here are a few reviews from our graduates on the value of the practice 365 Data Science offers:
Free 365 Data Science projects you can start today
If you’re exploring the 365 Data Science platform, start here. These free AI and data projects are beginner-friendly and short enough to finish in one or two sittings:
1) Using ChatGPT for Work (1 hour, beginner, free)
A low-pressure way to start building “AI at work” confidence.
2) Prime Numbers in Python (1 hour, beginner, free)
Perfect if you’re starting Python and want a quick coding win.
3) Formatting Data in Excel Professionally (1 hour, beginner, free)
Underrated skill. Makes your work look “job-ready” fast.
4) Calculating Free-to-Paid Conversion Rate with SQL (2 hours, beginner, free)
One of the most practical beginner SQL projects: joins, aggregations, conversion logic—real business context.
5) Customer Engagement Analysis in Excel (2 hours, beginner, free)
Great for understanding metrics + basic stats without heavy coding.
6) Career Track Analysis with SQL and Tableau (3 hours, beginner, free)
A clean combo project: extract insights with SQL → visualize with Tableau.
7) Newsfeed Analysis in Tableau (4 hours, beginner, free)
A full dashboard-style project that feels like real analyst work.
Author’s take: If you have time to do one free project only, I’d pick the SQL conversion one. It hits a core skill employers actually screen for.
How to pick the right project
Here’s an easy way to choose based on your goal. If you want a data analyst / BI vibe, start with:
- Calculating Free-to-Paid Conversion Rate with SQL (free)
- Newsfeed Analysis in Tableau (free)
- Then step up to: Checkout Flow Optimization with SQL and Tableau (8 hours, intermediate)
This path gives you “query → insight → dashboard” skills that show up in real job tasks.
If you want Python + real analysis practice, start with:
- Prime Numbers in Python (free)
Then move into deeper work like: - Music Genre Classification with PCA & Logistic Regression (3 hours, intermediate)
- Customer Segmentation in Marketing with Python (5 hours, advanced)
If you want modern AI (chatbots, agents, RAG), start with:
- Using ChatGPT for Work (free)
Then go for: - Create a Q&A Chatbot with LangChain (8 hours, advanced)
And if you want “agentic” work: - Crypto Analysis Agent with LangGraph (25 hours, advanced)
These are the projects that feel closest to what people mean when they say “I want to work in AI.”
What advanced projects look like
When you’re ready for bigger, job-simulating projects, here are a few worth calling out:
User Journey Analysis in Python (13 hours, advanced)
You work with user journey strings from a subscription learning platform and build Python tools to extract meaningful metrics and insights—exactly the kind of behavioral analysis businesses use to improve conversion.
Tracking User Engagement with SQL, Excel, and Python (25 hours, advanced)
A full-stack analytics project: SQL prep, Excel hypothesis testing/correlations, Python preprocessing/modeling. This is the kind of project that can become a portfolio centerpiece.
Building Conway’s Game of Life in Python (15 hours, advanced)
More of a “serious Python challenge” that helps you level up your implementation and logic skills.
A simple starter plan (3 steps)
If you’re busy and want a practical plan that works:
- Step 1 (today): pick one free project (1–2 hours).
- Step 2 (this week): do one project that matches your tool goal (SQL / Python / Tableau).
- Step 3 (this month): level up to one intermediate project you can talk about in an interview.
That’s it.
But projects aren’t about doing everything. They’re about doing enough to show you can actually do the work. And it helps when that proof comes from a platform people trust. 365 Data Science is recognized and accredited by 6 international organizations.
We’re also the #1 most reviewed and highest-rated AI & data learning platform on Trustpilot. 
And for eligible courses, you can earn CPE credits via NASBA—something most online platforms can’t offer. It means your learning counts as official continuing education you can actually use. 
What’s next? Pick one project today
If you take one thing from this guide, make it this: do one project this week.
Not five. Not the “perfect” one. Just one you can finish.
You sit down, do the task, and leave with something real. That’s how people build momentum in this field—quietly, consistently, without overthinking it.
