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Last updated: June 2026. Written by Josh Hutcheson, OnlineCourseing editor. See our review methodology.
QUICK VERDICT
Bottom line (4 / 5): 365 Data Science is one of the best-value structured paths into data science for beginners. Its guided career tracks take you from zero to a job-ready portfolio, and at roughly $29 a month it badly undercuts the big-name platforms. It’s lighter on hands-on, in-browser coding practice than DataCamp and carries less brand recognition than a Coursera certificate, but for self-starters who want a clear roadmap on a budget, it earns its price.
- Best for: beginners who want a structured, affordable roadmap into data analysis or data science
- Pricing: free tier + Premium ~$29/mo billed annually (~$36/mo monthly); 30-day money-back guarantee
- Skip if: you want heavy interactive coding (try DataCamp) or a recognized university-branded certificate (try Coursera)
See 365 Data Science Plans & Pricing →
What Is 365 Data Science?
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365 Data Science is an online learning platform built around a single goal: taking a complete beginner to a job-ready data professional through a guided, sequenced curriculum. Rather than dropping you into a catalog of disconnected courses, it organizes everything into career tracks — ordered programs that move you from the fundamentals (statistics, Excel, SQL) into Python, data visualization, machine learning, and real projects. It’s aimed squarely at people switching into data analysis or data science who want someone to tell them what to learn, and in what order.
What You Actually Get
The platform’s strength is structure. A Premium subscription unlocks the full library, but the parts that matter most are:
- Career tracks — the headline feature. Guided routes like Data Scientist and Data Analyst stitch the individual courses into a coherent journey, so you’re never guessing what comes next.
- Courses — bite-sized video lessons covering statistics, probability, Excel, SQL, Python, Tableau, machine learning, and deep learning. The teaching is clear and beginner-friendly, with downloadable resources and quizzes.
- Hands-on projects — real datasets and practical exercises (from Tableau dashboards to neural networks in Python) that you can put in a portfolio.
- Practice and exams — quizzes, course exams, and a final practical exam that feed into your certificate.
The Learning Experience
The lessons are short, studio-produced videos — typically a few minutes each — with a calm, explain-it-simply teaching style that suits true beginners. Each course pairs the videos with downloadable notes and datasets, knowledge-check quizzes, and a course exam, so you’re tested as you go rather than just passively watching. The curriculum is sequenced sensibly: you start with the math and statistics foundations most beginners skip, then move into Excel and SQL for data handling, Python for analysis and modeling, and finally machine learning and deep learning. Topics span probability and statistics, data preprocessing, Tableau and Power BI visualization, regression, classification, and neural networks — a genuinely end-to-end path.
Where it asks more of you is the hands-on coding. Unlike DataCamp’s in-browser console, most of your practical work happens in your own environment (Jupyter, Anaconda), which is closer to how you’ll actually work as an analyst but adds a small setup hurdle. The trade-off is that the projects feel real: by the end of a track you have portfolio pieces — a Tableau dashboard, a Python model — rather than a string of sandbox exercises.
The 365 Data Science Certificate
You earn a certificate of achievement for each course you complete and for finishing a full career track. These are platform-issued certificates, not accredited university credentials — useful for demonstrating effort on a LinkedIn profile or to a hiring manager, but they don’t carry the institutional weight of, say, a Google or IBM certificate on Coursera. Treat the certificate as a bonus; the real value is the skills and the portfolio projects you build along the way.
365 Data Science Pricing
Pricing is refreshingly simple, and it’s the platform’s biggest selling point:
| Plan | Price | What you get |
|---|---|---|
| Free | $0 | A limited set of intro courses to test the teaching style |
| Premium (annual) | ~$29/mo (billed annually) | Full library, all career tracks, projects, certificates |
| Premium (monthly) | ~$36/mo | Same access, no annual commitment |
There’s a free plan to try the teaching style before you pay, and Premium is backed by a 30-day money-back guarantee, so the risk of trying it is genuinely low. Compared with DataCamp or a Coursera subscription, the annual rate is one of the cheapest ways to access a full, structured data-science curriculum.
Pros and Cons
WHAT WE LIKED
- Genuinely structured: the career tracks remove the “what do I learn next?” paralysis that sinks most self-taught learners.
- Excellent value — one of the cheapest full curricula in the space at the annual rate.
- Clear, beginner-friendly instruction with downloadable resources and real projects for your portfolio.
- Free tier plus a 30-day money-back guarantee makes trying it low-risk.
WHAT COULD BE BETTER
- Lighter on in-browser, interactive coding practice than DataCamp — you’ll do more of your hands-on work in your own environment.
- The certificate is platform-issued, not an accredited or university-branded credential.
- Catalog depth is narrower than a giant like Coursera; it’s a focused curriculum, not an everything-store.
How It Compares
365 Data Science sits in a crowded field, and the right pick depends on what you weigh most:
- vs. DataCamp: DataCamp’s in-browser coding labs give you more guided keyboard time; 365 gives you a clearer end-to-end roadmap and is usually cheaper on the annual plan. Pick DataCamp for reps, 365 for structure and price.
- vs. Coursera: A Google or IBM data certificate on Coursera carries more recruiter recognition, but costs more and is less of a single guided path. 365 is the better value if the credential’s brand name isn’t the priority.
- vs. Udacity: Udacity’s Nanodegrees include human project review and mentorship, but run into the hundreds of dollars per month. 365 covers similar ground at a fraction of the price, minus the personalized feedback.
In short, 365 Data Science wins on structure-per-dollar. The pricier platforms beat it on interactivity, brand-name credentials, or mentorship — not on value.
Who Should Use 365 Data Science?
Choose 365 Data Science if you’re a beginner or career-switcher who wants a clear, affordable roadmap and the discipline of a sequenced track. It’s a strong fit for self-starters who’d rather follow a proven path than assemble their own from scattered free tutorials. Look elsewhere if you specifically want heavy hands-on coding labs (DataCamp’s in-browser approach is stronger there) or a brand-name credential that recruiters instantly recognize (a university-backed Coursera certificate carries more weight). For a side-by-side of all the major options, see our guide to the best data science courses.
Related Guides
- Best Data Science Courses — how 365 Data Science stacks up against Coursera, Udemy, DataCamp, and Udacity.
- Best Data Analysis Courses — if analytics, not full data science, is your goal.
Frequently Asked Questions
Is 365 Data Science worth it?
For beginners who want a structured, budget-friendly path into data analysis or data science, yes. At roughly $29 a month on the annual plan, the guided career tracks and portfolio projects deliver strong value. It’s less compelling if you need heavy interactive coding or an accredited credential.
Is 365 Data Science free?
There’s a free plan with a limited set of intro courses so you can test the teaching style, but the full library, career tracks, and certificates require a Premium subscription (~$29/mo billed annually). Premium comes with a 30-day money-back guarantee.
Is the 365 Data Science certificate recognized?
It’s a platform-issued certificate of completion, useful for showing initiative on LinkedIn or to a hiring manager, but it isn’t an accredited or university-branded credential. The portfolio projects you build matter more to employers than the certificate itself.
365 Data Science vs DataCamp — which is better?
They serve similar learners differently. 365 Data Science emphasizes a guided, sequenced curriculum and is typically cheaper; DataCamp leans into hands-on, in-browser coding practice. If you value a clear roadmap and price, 365 wins; if you want maximum interactive coding reps, DataCamp does.