If you’re looking for an overview of the 365 Data Science platform, you’re probably not looking for hype. You want the simple stuff: what it is, what you get, what it costs, and whether it’s actually worth your time.
Let’s make it practical.
The 1-minute review
365 Data Science is a self-paced online platform for learning AI and data skills with structure built in. You practice with exercises and projects, take exams, and earn accredited certificates tied to assessment. Eligible AI and data courses earn CPE credits.
365 Data Science is accredited by six internationally recognized education-quality organizations—and it’s the #1 most reviewed and highest-rated online AI & data learning platform on Trustpilot.
What’s 365 Data Science?
At its core, 365 Data Science exists to solve one problem: too many people want to learn AI and data, but they lose momentum because there’s no system.
So the platform is built more like a guided learning environment than a pile of videos. You can learn whenever it fits—on the train, during a lunch break, late at night, in short weekend sessions—and everything stays accessible so you can pick up where you left off.
What you’ll notice pretty quickly is that the learning experience is designed to be “return-friendly.” If you pause for a week (or three), you’re not punished for it. Things like transcripts, timestamp notes, and downloadable resources make it easier to restart without rewatching entire lessons. If you want to see how the platform feels, you can start on the Free Plan.
How much does 365 Data Science cost?
I won’t list exact prices here because they change over time and sometimes there are special offers, but the plans usually fall into three decisions people actually make:
Free Plan: This is the “try it” option. You can preview course content and test the learning experience—lessons, practice, and selected features—before you pay anything. Most people use this to figure out whether they like the platform’s style. There’s enough free content to get you moving in AI and data, and to help you narrow down which job path makes the most sense for you.
Annual Plan: This tends to be the most popular choice for learners who already know they’re committing to a longer learning stretch. You get full access without having to think about renewals every month.
Lifetime Plan: This is the “one decision and done” option. It’s great for people who know they’ll keep coming back to AI and data learning over time (because the field changes so fast) and don’t want subscriptions hanging over their head.
For the most up-to-date pricing, visit our Pricing page.
Bonus Tip: If you’re fairly convinced you’ll spend at least a few weeks learning, the annual plan is usually the smarter choice. It comes with a 30-day money-back guarantee, so you can fully explore the platform risk-free in the beginning.
What other platforms cost
People compare 365 Data Science to a lot of different platforms, but most alternatives fall into a few buckets:
- Course marketplaces where you buy one course at a time
- Subscription libraries with lots of content, but not always a clear roadmap
- Bootcamps that cost more and run on schedules
- University programs that cost the most and take the longest
So when someone asks, “Is 365 cheaper or more expensive?” I usually say: don’t compare it like a single product. Compare it like a learning setup.
If you want structure + practice + projects + exams + accredited certificates inside one system, you’re comparing it to platforms that offer that full stack—not just video libraries.
Have questions about the 365 Data Science program? Email us at team@365datascience.com and our team will get back to you shortly.
What courses are available?
One thing worth noting before we get into courses is that 365 Data Science awards CPE credits on its courses, which is useful whether you’re upskilling for work or starting from scratch.
Now, the catalog covers the main building blocks you’d expect for AI and data roles. You’ll see a lot of emphasis on the skills that come up again and again in real job tasks—things like SQL, Python, data analysis, visualization, and machine learning—plus newer topics like LLMs and agentic AI workflows.
And the pacing is built for normal life. Most learners don’t study in 3-hour blocks. They do 15–30 minutes. So the course format is meant to support that: short lessons, practical exercises, and tools to help you review quickly later.
Currently, there are 125+ courses on the 365 Data Science platform, taught by instructors who do this work in real life—not just in theory. It’s all designed for you to be job-ready upon completing a course or a career track.
If you’re wondering what you’ll actually learn first, the catalog is strongest in the core skills that show up in almost every AI & data job: SQL, Python, statistics, data cleaning, and data visualization—then it branches into machine learning and modern AI (LLMs, LangChain, and agents).
Some of the most popular “starter” courses learners include:
- Intro to AI
- Intro to LLMs
- Intro to ChatGPT and Generative AI
- Power BI
- Intro to Google Cloud
- Intro to NLP for AI
- Intro to Data Engineering
- Introduction to Tableau
- Introduction to Python
- Introduction to Data and Data Science
Are certificates accredited?
Yes, they are.
This matters because the word “certificate” can mean anything online. On 365 Data Science, certificates are meant to represent assessed progress, not just “I watched something.” There are typically two routes.
Accredited Course Certificates come from passing a course exam.
Accredited Career Track Certificates come from completing a role-based path and passing the required exams.
If your goal is to add something credible to LinkedIn or your resume, that distinction is important.
Bonus tip: If you’re not sure which role fits you best, take our free career quiz—it’ll point you toward the Career Track that matches your goals and strengths.
Who is the 365 Data Science platform for?
In plain terms, the 365 Data Science platform works best for people who want momentum without chaos.
If you’re busy, learning around work and life, and you want a system that keeps you moving with clear milestones, you’ll probably like it. If you prefer completely unstructured learning and hopping between isolated topics forever, you might find a marketplace-style approach more your speed.
A starter plan
- Sign up to the platform for free
- Explore a few free lessons
- Do some interactive exercises
- Complete free AI & data projects
After that, pick a starting point based on your goal.
Most learners don’t need the “perfect” first course. They need a first step that matches their goal. If you’re brand new, the safest path is to start with fundamentals (the things that unlock everything else later): basic data concepts, SQL, and Python.
If you want an AI and data job, focus on practical daily skills first: SQL, spreadsheets, basic stats, and dashboards—then build proof through projects.
If you want modern AI (LLMs/agents), start with Python basics and then choose one direction—LLMs or agents—and build something small early so you’re not just reading about the topic.
Why 365 Data Science feels different
This is the part people only notice after they’ve tried a few platforms. A lot of places give you content. 365 Data Science gives you a plan + practice + proof—in one flow. That’s the difference between “I watched a course” and “I can show what I can do.”
Also, the platform is built to be restartable. That sounds small, but it matters. If your learning breaks every time life gets busy, you never get momentum. Tools like transcripts, timestamp notes, and downloadable materials might save you from giving up on your dream AI and data job preparation.
The 365 community + features
Once you’re inside, it’s not just courses. There are a few built-in tools that make learning easier to stick with and connect it to job prep. Here’s what you’ll actually notice and use.
Job prep
- Career quiz
- Career guides
- Resume builder
- AI mock interview simulator
Community
- Q&A learning hub
- Social channels you can join
- Newsfeed with your peers’ updates
Resources
- Flashcards
- Course notes
- Infographics
- Coding templates
- Blog
Sign up for free to explore these benefits.
Reviews from graduates
You can read about features all you want, but what matters the most is how others experience it—and whether the practice can translate into real skills. Here are a few testimonials from learners who used 365 Data Science.
The instructor perspective
One detail that’s worth mentioning is that our instructors and mentors come from teams at YouTube, Apple, Meta, IKEA, Spotify, Netflix, Coca-Cola, BBC, The New York Times, Accenture, and more. Their teaching stays grounded in how the work looks outside of “tutorial world.”
That doesn’t mean every course is advanced or corporate-y (it’s still beginner-friendly), but it does mean the 365 Data Science platform takes “real-world applicability” seriously.
Final thought: is it worth it?
I’ll put it simply: yes, it is.
A year goes fast. The difference is usually whether you had a system you actually stuck with.
If you only want one isolated course and you’re done, there are cheaper ways to do that. But if you want a system you can return to where you learn, practice, build proof, and earn accredited AI and data certificates—then go for the 365 Data Science platform.
The best no-pressure move is to start with the Free Plan, try one lesson, one exercise, one small project, and see if the platform fits how you realistically learn.
