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Index › Products › DataCamp · September 2026 Edition
2 categories · Named, not ranked

DataCamp

8Judge labels
0First choices
0Negative labels
6 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.3, every buyer segment counted.
Standing
7 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. DataCamp was named 7 times in Skills intelligence and 1 other category, where TalentGuard led with 19%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In skills intelligence · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named DataCamp for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Skills intelligencePerformance and talent management0%35 of 1610%5under 10 labels · led by TalentGuard at 19%
Online course librariesLearning and development0%30 of 730%2under 10 labels · led by Udemy Business at 32%

Movement

This is the first edition on this tier, so no move can be computed for DataCamp yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated DataCamp across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small00000
DeepSeek V4 Flash00101
Llama 4 Maverick00000
Qwen 3.7 Flash00101
Kimi K200101
GLM 4.7 FlashX00101
MiniMax M2.501102

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative8 labelsNone
Budget-constrained0 labelsNone
Scale-constrained0 labelsNone
Negative0 labelsNone
First choiceAlternativeMentionNegative8 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“data science → DataCamp or Coursera” MiniMax M2.5 · Online course libraries · comparative prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

No model argued against it.

Named alongside

The products named in the same answers as DataCamp, over the 8 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and DataCamp was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
LinkedIn Learning8 of 81Not among the top eight
Udemy Business8 of 80Not among the top eight
Skillshare7 of 80Not among the top eight
edX6 of 81Not among the top eight
Coursera5 of 82Not among the top eight
MasterClass5 of 80Not among the top eight
Pluralsight Skills5 of 80Not among the top eight
Coursera for Business3 of 81Not among the top eight
Khan Academy3 of 80Not among the top eight
OpenSesame2 of 81Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named DataCamp. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 8 of the 8 answers that named DataCamp and are not a share of its labels.

Domains cited

skillscouter.com6
learn.g2.com4
opensesame.com4
pcmag.com4
360learning.com3
buddyboss.com3
clearcompany.com2
coursebox.ai2
g2.com2
group.app2

Thirty-two of the thirty-two domain citations in answers naming DataCamp came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as DataCamp

What the judge wrote, as written, with how often. The vendor table decides that these count as DataCamp; a claim can dispute any of them.
DataCamp / GoSkills 1

Follow DataCamp

An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.

Already following? Everything you follow, with a stop for each.

Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when DataCamp's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as DataCamp, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

With a new claim: the vendor brief

A new claim receives the current edition's vendor brief for DataCamp by email, built from the raw record of the edition. It shows:

  • where DataCamp is named, by buyer and by framing, and which cells hold its first choices;
  • the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
  • its vocabulary against the segment leader's, and the pages the models cited;
  • who was chosen in the answers that did not name DataCamp, and every reason the record gives;
  • a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
  • one page of published figures cleared to show a buyer.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at datacamp.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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