Program profile · official sources

Supervised Machine Learning in R

DataCamp offers the Supervised Machine Learning in R track, a beginner-level program with 25 listed hours focused on teaching predictive modeling and evaluation using the Tidyverse ecosystem. The curriculum consists of six courses, covering topics such as multiple and logistic regression, tree-based models, support vector machines, and hyperparameter tuning, alongside one bonus project assessing medical treatments. Upon finishing the courses, learners receive a Statement of Accomplishment. DataCamp lists no prerequisites for this track. Access to the program requires a Premium subscription, which costs USD 35 per month at the regular price checked on 8 September 2026. This subscription fee provides one month of access and does not represent a guaranteed total cost for completion.

Facts checked 9 Sep 2026

Price
DataCamp Premium — USD 35/month for course content, billed monthly at the regular price
Time
25 hours

Provider-listed track duration; not guaranteed elapsed completion time.

Level
Beginner
Credential
Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review.

Prerequisites
There are no prerequisites for this track

Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.

Price
DataCamp Premium — USD 35/month for course content, billed monthly at the regular price. (see provider page)
Premium for Individuals. English public pages with USD explicitly selected; visitor country not stated. Monthly regular access is USD 35 with no monthly promotion shown. Annual regular USD 330 and promotional USD 165 are separate billed totals; no promotion expiry or additional account/geographic restriction is stated. Access price is not a guarantee of track completion. · Official pricing
Duration
25 hoursProvider-listed track duration; not guaranteed elapsed completion time.
Level
Beginner
Format
Track
Credential
Statement of Accomplishment
Prerequisites
There are no prerequisites for this track

Course and activity access

Career and Skill tracks: Basic not included; Premium included.. Official source

Chart scrolls horizontally. Open the full-size chart.

Supervised Machine Learning in R: USD 35; position among 36 other courses and tracks with accepted USD prices. Payment scopes differ.

See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.

What’s covered

  • Machine Learning in the Tidyverse
  • Intermediate Regression in R
  • Modeling with tidymodels in R
  • Machine Learning with Tree-Based Models in R
  • Support Vector Machines in R
  • Hyperparameter Tuning in R

Prerequisites: There are no prerequisites for this track

Explore DataCamp

View official program ↗

What is the curriculum structure of the Supervised Machine Learning in R track?

The DataCamp Supervised Machine Learning in R track consists of six courses and one bonus project. The six primary courses are Machine Learning in the Tidyverse, Intermediate Regression in R, Modeling with tidymodels in R, Machine Learning with Tree-Based Models in R, Support Vector Machines in R, and Hyperparameter Tuning in R. The program also features an extra bonus project titled Assessing the Effectiveness of Medical Treatments. The entire sequence is designed by the provider to take twenty-five hours to complete, though individual elapsed time will vary based on user pace.

What are the prerequisites and target audience for this DataCamp track?

According to DataCamp, there are no prerequisites required to enroll in the Supervised Machine Learning in R track. The provider explicitly designates this material as a beginner-level program. DataCamp states that the track is particularly beneficial to data scientists, machine learning engineers, and researchers. Furthermore, the official documentation suggests that any professional operating in a job that requires foundational knowledge of supervised machine learning principles, regression techniques, or tree-based models will benefit from completing the sequence .

How much does it cost to access the Supervised Machine Learning in R track?

Accessing the Supervised Machine Learning in R track requires an active subscription to the DataCamp Premium plan. As checked on 8 September 2026, the regular price is USD 35 for one month of Premium access when billed on a monthly basis. The basic free plan does not include access to this career and skill track. The quoted subscription amount covers only one month of platform access and does not represent a guaranteed total cost to finish the twenty-five hours of material, and the final amount depends on the subscription route and billing periods selected.

What you actually do

  • Machine Learning in the Tidyverse · Source
  • Intermediate Regression in R · Source
  • Modeling with tidymodels in R · Source
  • Machine Learning with Tree-Based Models in R · Source
  • Support Vector Machines in R · Source
  • Hyperparameter Tuning in R · Source

What the credential is

Credential type
Statement of Accomplishment · www.datacamp.com / supervised-machine-learning-in-r
Credential
Statement of Accomplishment · www.datacamp.com / supervised-machine-learning-in-r
Issuer
DataCamp · www.datacamp.com / supervised-machine-learning-in-r
Sharing
Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review. · www.datacamp.com / supervised-machine-learning-in-r

Who should skip it

  • Learners seeking a separately assessed professional certification rather than a track-completion Statement of Accomplishment; the reviewed terms leave exam requirements, expiry, and renewal unstated. · Source
  • Students seeking fully free access or a one-off purchase, because the sourced full-track route is Premium subscription access at USD 35 per month regular. · Source
  • Individuals wanting advanced programming courses or deep learning architecture, since DataCamp officially designates this as a beginner-level supervised machine learning track. · Source

Alternatives in the registry

Related by topic or level.

  • Machine Learning Fundamentals in R — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; 24 hours.
  • AWS Certified AI Practitioner (AIF-C01) — USD 100 (One initial exam attempt; check applicable regional pricing and taxes. Optional preparation and retakes are not included.); 90 minutes (exam only; not preparation time).
  • AI Fundamentals — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; Approximately 9 hours.

Change log

  • : Registry admission from previously reviewed official evidence; individual fact dates are preserved. · Source
← All programs