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Education · head to head

DataCamp vs JMP

DataCamp logo

DataCamp

Education

Learn data science and AI skills online

From
Free
Rated
-
JMP logo

JMP

Machine Learning

Desktop statistical and design of experiments software from a SAS subsidiary

From
Free
Rated
-

The short version

  • Each has a real cost: DataCamp free tier limited to first chapter of every course only; JMP it is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • They diverge on capability: DataCamp covers Interactive courses, JMP covers Custom design of experiments.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which DataCamp and JMP actually diverge.

Attributes where DataCamp and JMP differ
AttributeDataCampJMP
Pricing modelfreemiumsubscription
PlatformsWeb, MobileMac, Windows
CategoryEducationMachine Learning
Founded20131976

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DataCamp

  • Interactive courses
  • Hands-on projects
  • Skill assessments
  • Career tracks
  • Certifications
  • Workspace
  • Mobile app
  • Practice mode

Only in JMP

  • Custom design of experiments
  • Linked interactive graphics
  • Analysis platforms
  • Quality and process tools
  • Graph Builder
  • JSL scripting
  • Scoring code export
  • Predictive modelling in JMP Pro

What people use each for

The jobs each tool is most often brought in to do.

DataCamp

  • Interactive data science and AI education with 790+ coursesnot JMP
  • Career-track learning (36-44 hours) for role-specific competencynot JMP
  • Team upskilling with admin dashboards and learning activity trackingnot JMP
  • Hands-on projects, certifications, and industry-recognised credentialsnot JMP

JMP

  • Planning a physical experiment where each run is expensive, and the question is which twelve runs to perform rather than how to model data you already havenot DataCamp
  • Process capability and control chart work in a manufacturing quality function that has to produce evidence for a customer or regulatornot DataCamp
  • Exploratory analysis by an engineer or scientist who will not write code but needs more than a spreadsheetnot DataCamp
  • Semiconductor, chemical and pharmaceutical development groups where JMP is already the shared language for reporting resultsnot DataCamp

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DataCamp

  • Free tier limited to first chapter of every course only
  • Premium plan requires annual billing with no monthly option
  • Teams plan requires minimum 2+ users with annual upfront billing
  • Free tier excludes access to 790+ courses and skill assessments

JMP

  • It is a desktop application holding the working table in memory, so a data set that outgrows the workstation has no in-place upgrade path, only a move to a different tool and a different skill set.
  • There is no Linux build and no server edition for running analyses, so JMP cannot sit in a scheduled pipeline the way an R or Python script can, and recurring reports depend on a named person running them on a laptop.
  • The predictive modelling capability most buyers mean when they call this machine learning software is in JMP Pro, a separate and more expensive licence, so the base product's price is not the price of the thing being evaluated.
  • JSL is proprietary to JMP, so the scripts, add-ins and automation a group accumulates over a decade do not port anywhere and become sunk cost the moment anyone questions the renewal.
  • Deployment ends at exported scoring code with no registry, monitoring or retraining, so a model that runs in production is maintained by another team in another language and steadily diverges from the version the analyst still has open.

Pricing, plan by plan

DataCamp

Free
  • BasicFree
    • First chapter of every course
    • All cheat sheets and tutorials
    • Mobile learning
  • Premium$28/month
    • 790+ courses
    • Projects
    • Certificates
  • Teams$28/month_per_user
    • Everything in Premium
    • Admin dashboard
    • License management

JMP

Free
  • TrialFree
    • 30-day trial
    • Full features
  • JMP$1785/year
    • Core JMP
    • Standard features

Which should you pick?

Choose DataCamp if

  • You need interactive courses.
  • You want to start without paying.
  • You work on Web, Mobile.
  • You also want hands-on projects.

Choose JMP if

  • You need custom design of experiments.
  • You want to start without paying.
  • You work on Mac, Windows.
  • You also want linked interactive graphics.

Questions people ask

Is DataCamp or JMP better?
Neither clearly leads. DataCamp starts at Free and JMP at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataCamp or JMP?
DataCamp starts at Free and JMP at Free.
Does DataCamp or JMP run on more platforms?
DataCamp runs on Web, Mobile. JMP runs on Mac, Windows.
Can I use DataCamp for free?
Both have a free tier, so you can try either at no cost before committing.
What is DataCamp best used for?
DataCamp is most often used for interactive data science and ai education with 790+ courses, career-track learning (36-44 hours) for role-specific competency, team upskilling with admin dashboards and learning activity tracking, hands-on projects, certifications, and industry-recognised credentials. Of those, interactive data science and ai education with 790+ courses and career-track learning (36-44 hours) for role-specific competency are not what JMP is typically brought in for.
What can DataCamp do that JMP cannot?
DataCamp covers Interactive courses, Hands-on projects, Skill assessments, Career tracks. JMP covers Custom design of experiments, Linked interactive graphics, Analysis platforms, Quality and process tools.

Answered from the vendors’ own pages

DataCamp: What does DataCamp's free plan include?

DataCamp Basic is free and includes access to the first chapter of every course, all cheat sheets, tutorials, mobile learning, live code-alongs, competitions, a professional profile, and skill assessments.

Source
JMP: Is JMP the same thing as SAS?

No. JMP is a separate desktop product from a SAS subsidiary, with its own interface, its own scripting language and its own licence. Knowing SAS does not transfer to it beyond the statistics.

DataCamp: How much does DataCamp Premium cost annually?

Premium costs $28 per month when billed annually, and DataCamp advertises savings of $90 with yearly billing compared to monthly rates. Premium unlocks 790+ courses, projects, certificates, and priority support.

Source
JMP: Do I need JMP Pro?

If you want cross validation, penalised regression, boosted trees or neural networks, yes. The base edition covers classical statistics, graphics and design of experiments well and stops short of predictive modelling.

DataCamp: Does DataCamp offer team or multi-user pricing?

Yes, DataCamp Teams is available for teams of 2 and up at $28 per user per month billed annually. It includes admin dashboard, license management, team performance reports, and SSO options (Google or Microsoft).

Source
JMP: Does it run on Linux?

No. Windows and macOS only, as an installed application.

DataCamp: What currencies does DataCamp accept?

DataCamp pricing is available in USD, GBP, CAD, AUD, EUR, BRL, MXN, and INR, allowing customers to pay in their local currency.

Source
JMP: Can I put a JMP model into production?

Only by exporting the scoring formula as SQL, C, Python or similar and running it in another system. JMP itself does not serve, monitor or retrain models.

JMP: Who actually uses it?

Process and quality engineers, and scientists in R&D, particularly in semiconductor, chemicals, pharmaceutical and medical device work. It is not usually chosen by data engineering or platform teams.

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