Affiliate Disclosure: This article does not currently contain affiliate links to 365 Data Science. Some other links on this site use affiliate identifiers that may earn RIA LLC a commission at no extra cost to you; if that changes for this page, the links will be marked accordingly. Our conclusions remain independent. See our editorial policy and affiliate disclosure.
Part of our Online Learning and Career Change Guides library.
Pricing and verdict · Verified August 24, 2026
365 Data Science is worth $29 a month billed annually (or $36 monthly) for structured beginners who want one data-science path; choose Coursera for a big-brand credential or DataCamp for typing-first practice.
The Self-Study plan includes 133 courses, 51 projects, 12 career tracks, certificates, AI mock interviews and portfolio feedback, with a 30-day money-back guarantee and a learning-break option. The free plan costs nothing, needs no card, and includes course previews, all 51 projects and one mock interview. The catalogue is smaller than Coursera's or DataCamp's and the certificates carry a platform name rather than an employer's. The 30-day plan below uses the free tier and the guarantee so you only pay for something you will finish.
365 Data Science review: the short answer
365 Data Science is worth paying for if you want one structured, beginner-friendly path through statistics, Python, SQL and machine learning, and you value a curriculum over a catalogue. The Self-Study plan costs $29 per month billed annually (about $348 a year, advertised as a 20% saving) or $36 per month billed monthly, based on the official pricing and product pages checked on August 24, 2026. It includes 133 courses, 51 projects, 12 career tracks, certificates, AI mock interviews and portfolio feedback, and it carries a 30-day money-back guarantee.
It is not the right buy if you need a credential with a big brand on it, where a Coursera certificate from Google or IBM does more work, or if you want to be typing code from the first minute, where DataCamp's interactive format is stronger. The catalogue is smaller than either of those. The free plan and the 30-day guarantee together make this one of the cheaper platforms to test properly, and the plan at the end shows how.
See 365 Data Science plans and the free tier →
How this review was prepared
This is a documentation-based review. We did not complete the 365 Data Science curriculum and grade it, and we make no claims about completion rates, job outcomes or teaching quality beyond what the public pages describe. Everything below is based on the official pricing and product pages checked on August 24, 2026, plus the public course and career-track listings.
Some links on this site may earn us a commission; our editorial policy explains how we keep that separate from the verdict. In this review the "who should choose something else" section points to two competitors by name, which is the honest answer for a platform with a deliberately narrow scope. Prices are US list prices; regional pricing and promotions may change what you see at checkout.
What 365 Data Science includes
365 Data Science is a subscription learning platform focused on one thing: taking a beginner to job-ready in data science and the neighbouring roles. The positioning is a structured, career-track style curriculum with a job-readiness flavour, rather than a broad catalogue.
The Self-Study plan
- 133 courses covering statistics, Python, SQL, machine learning and the tooling around them.
- 12 career tracks that sequence those courses into role-shaped paths, so you follow an order rather than choosing from a menu.
- 51 projects for applied practice, and exercises and practice exams inside the courses.
- Certificates of completion for courses and tracks.
- AI mock interviews and portfolio feedback, which are the two features that separate it from a pure course library.
- Priority support and a learning-break option that lets you pause rather than cancel.
The free plan
The free plan costs $0 with no card. It includes course previews, all 51 projects, exercises, practice exams, career resources and one AI mock interview. Certificates and the full courses are not included. It is generous enough to judge the teaching style and to sample the project format, which is what you need before paying.
What it is not
It is not a university partner platform, it does not issue degrees or credentials with an employer's name attached, and the catalogue is smaller than Coursera's or DataCamp's. The certificates are 365 Data Science certificates, which is fine as evidence of completed work and weak as a headline on a CV.
365 Data Science pricing explained
There are three tiers. The figures below are from the pricing page checked on August 24, 2026.
| Plan | US list price | What it includes | Refund or trial |
|---|---|---|---|
| Free | $0, no card | Course previews, 51 projects, exercises, practice exams, career resources, 1 AI mock interview | Free indefinitely |
| Self-Study, annual | $29 per month billed annually (about $348 a year; advertised as saving 20%) | 133 courses, 51 projects, 12 career tracks, certificates, AI mock interviews, portfolio feedback, priority support, learning break | 30-day money-back guarantee |
| Self-Study, monthly | $36 per month | Same as annual | 30-day money-back guarantee |
| Lifetime | Custom, pay once | Same content, permanent access | Check the vendor's page |
Annual vs monthly
The annual plan is $7 a month cheaper, which over a year is $84. If you expect to follow one full career track and those tracks take several months, annual is the better buy. If you only want to fill one gap, for example SQL for an interview next month, monthly at $36 is cheaper than committing.
The 30-day money-back guarantee
This is the single most useful thing on the pricing page. A 30-day window is long enough to complete a meaningful chunk of a track at a realistic pace, not just a first lesson, and it applies to both Self-Study billing options. Read the exact terms on the site before relying on it, and set a reminder for day 25.
The learning break
The learning-break option lets you pause a subscription rather than cancelling. For a working adult whose study time disappears for a month, that matters more than it sounds, because it avoids the cancel-and-resubscribe cycle that subscriptions usually force.
Who 365 Data Science is for
It fits a specific learner well.
- Structured beginners. If you want someone to tell you the order in which to learn statistics, Python, SQL and machine learning, the 12 career tracks do exactly that. A catalogue platform leaves that sequencing to you.
- People who want a data-science track, not a data-analytics certificate. The curriculum includes statistics and machine learning, which an entry-level analytics program such as Google Data Analytics does not set out to cover.
- Learners who will use the interview and portfolio features. The AI mock interviews and portfolio feedback are what you are paying for over a free video library. If you will not use them, the value case weakens.
- Budget-conscious learners who want a long test. The free plan plus a 30-day guarantee is a cheaper way to find out whether you will stick with data science than a $49-a-month certificate subscription.
- People who need to pause. The learning-break option suits irregular schedules.
Who should choose something else
Several common situations point away from 365 Data Science.
- You need a big-brand credential. If the name on the certificate matters for a CV or a hiring filter, Coursera's Google Data Analytics Professional Certificate or IBM and Meta certificates carry recognition that a 365 Data Science certificate does not. Coursera charges about $49 a month for a single certificate, roughly $150–$300 over a typical 3–6 months, or $399 a year for Coursera Plus; see Is Coursera Plus Worth It?.
- You want typing-first, interactive practice. DataCamp puts an in-browser code editor in front of you within minutes of starting any course, with 790+ courses and a Premium plan at roughly $25 a month billed annually for US buyers at the time of writing. 365 Data Science has projects and exercises but is built around a lecture-then-practice sequence.
- You already know the basics and need breadth. With 133 courses, the catalogue is smaller than Coursera's 10,000+ or DataCamp's 790+. Advanced or niche tools may not be covered.
- Your target role is not a data role. There is nothing here for project management, UX, cybersecurity or marketing. Our guide to the best learning platforms for a career change covers those.
- You need a degree or university credit. Not offered.
None of these is a criticism of the product; they are scope boundaries, and the platform is clear about them.
365 Data Science vs Coursera vs DataCamp
The three platforms most people weigh against each other solve different problems. The table uses the figures from the pages we checked.
| 365 Data Science | Coursera | DataCamp | |
|---|---|---|---|
| Core model | Structured career tracks in data science | Catalogue of university and company programs | Interactive in-browser coding practice |
| Catalogue size | 133 courses, 12 career tracks | 10,000+ courses | 790+ courses, career tracks |
| US list price | $29/month annual or $36/month monthly | About $49/month per certificate; Plus $59/month or $399/year | Roughly $25/month billed annually (about $300/year); monthly higher |
| Free tier | Free plan: previews, 51 projects, 1 mock interview | 7-day trial on Plus Monthly and on certificates | First chapter of every course |
| Refund | 30-day money-back guarantee | Up to 14 days on Plus Annual | Check the vendor's terms |
| Credential weight | Platform certificate | Google, IBM, Meta and university names | Platform certifications, respected in data roles |
| Distinctive extras | AI mock interviews, portfolio feedback, learning break | Capstone projects, breadth beyond data | Skill assessments, mobile app |
| Best for | Structured beginners wanting a data-science path | A recognised credential or a non-data career | Daily coding repetitions |
A reasonable reading: 365 Data Science is the most curriculum-like of the three, Coursera is the most credential-like, and DataCamp is the most practice-like. Many learners end up combining two, but the sequencing matters, and paying for all three at once is rarely sensible. For how Coursera compares with a marketplace platform, see Coursera vs Udemy.
A 30-day plan built around the guarantee
The free plan and the 30-day money-back guarantee let you test 365 Data Science in two stages without losing money if it is not for you. Check the guarantee terms on the official site before starting, because the details may change after our check.
Days 1–5: the free plan, no card
- Create a free account. Watch the previews of the first two courses in the career track that matches your goal.
- Open two of the 51 projects and attempt one. The projects are available on the free plan, so you can judge the applied format before paying.
- Use the one free AI mock interview. If the feedback feels useful, that is a point in favour of the paid plan; if not, discount that feature in your decision.
Day 6: decide whether to pay, and which billing
- If you plan to follow a whole track, pick annual at $29 a month. If you want one gap filled, pick monthly at $36. Both are covered by the 30-day guarantee, so the choice is about the year, not the test.
- Set two calendar reminders: day 25 of the subscription for the refund decision, and the renewal date.
Days 7–25: study at your real pace
- Follow the career track in order for three weeks at the hours you will actually keep. Do not binge; the point is to measure your sustainable pace.
- Complete at least one full course and one project, and submit something for portfolio feedback. Those are the paid features you are evaluating.
- Keep a simple log: hours per week, courses completed, and whether you understood the statistics material or merely passed it.
Days 26–30: the refund decision
- If you completed a course, used the feedback and can see yourself finishing the track, keep the subscription.
- If the format was fine but you kept wanting an in-browser editor, request the refund and move to DataCamp's free chapters.
- If you realised the certificate name matters for your job search, request the refund and put the money towards a Coursera certificate instead.
- If you studied fewer than about five hours a week, request the refund regardless; a subscription you do not use is the expensive one.
For most structured beginners, the honest prediction is that the free plan will already show whether the teaching style works, and the guarantee covers the rest. Start with the free plan rather than paying on day one.
Try 365 Data Science free, then use the 30-day guarantee →
Frequently asked questions
How much does 365 Data Science cost?
Based on the pricing page checked August 24, 2026, the Self-Study plan costs $29 per month billed annually, which the site advertises as a 20% saving, or $36 per month billed monthly. There is a free plan with no card required, and a Lifetime plan at a custom pay-once price. Regional pricing and promotions may change what you see at checkout.
Is 365 Data Science free?
There is a genuinely free plan. It includes course previews, all 51 projects, exercises, practice exams, career resources and one AI mock interview, with no card needed. Full courses, certificates and the remaining mock interviews and portfolio feedback require the Self-Study plan.
Does 365 Data Science have a money-back guarantee?
Yes. The Self-Study plan is advertised with a 30-day money-back guarantee, which is longer than the 7-day trial on Coursera Plus Monthly or the refund window of up to 14 days on Coursera Plus Annual. Read the exact terms on the official site before relying on it, and set a reminder before day 30.
Are 365 Data Science certificates recognised by employers?
They are platform certificates, evidence that you completed a course or track, rather than credentials carrying a university or employer name. In our reading of the public pages they are useful as supporting lines on a CV but not as a headline. If the credential name matters, a Coursera certificate from Google, IBM or Meta carries more recognition; see our career-change platform guide.
Is 365 Data Science better than DataCamp?
They suit different learners. 365 Data Science is more curriculum-like, with 12 career tracks that sequence statistics, Python, SQL and machine learning, plus mock interviews and portfolio feedback. DataCamp is more practice-like, with an in-browser editor from the first minute and a larger catalogue of 790+ courses. Structured beginners lean towards 365 Data Science; people who need daily coding repetitions lean towards DataCamp.
Is 365 Data Science better than Coursera for data science?
Coursera wins on credential weight and breadth, with 10,000+ courses and certificates from Google, IBM, Meta and universities. 365 Data Science wins on structure for a beginner who wants one path, and its free plan plus 30-day guarantee make it cheaper to test. If you need a recognised certificate for a job application, choose Coursera; if you need to learn the subject in order, 365 Data Science is a reasonable first platform.
Fact-checking note: official 365 Data Science pricing and product pages were reviewed August 24, 2026. Reconfirm prices, plan limits, and features before purchase.