Program profile · official sources
Machine Learning Fundamentals in R
Machine Learning Fundamentals in R is a beginner-level educational track offered by DataCamp. The curriculum has 24 provider-listed hours, consisting of six specific courses covering classification, regression, unsupervised learning, and R packages like caret and tidymodels. The program also features one bonus project and a bonus skill assessment. Access requires a Premium subscription, priced at USD 35 per month regular as of September 8, 2026, which is an access price rather than a guaranteed completion cost. Upon finishing the six core courses, learners receive a Statement of Accomplishment. The provider states there are no prerequisites. This track is designed for individuals seeking introductory knowledge for roles such as data scientist or artificial intelligence specialist.
Facts checked 9 Sep 2026
- Price
- DataCamp Premium — USD 35/month for course content, billed monthly at the regular price
- Time
- 24 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
- 24 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
Sources ↗
Course and activity access
Career and Skill tracks: Basic not included; Premium included.. Official source
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See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Supervised Learning in R: Classification
- Supervised Learning in R: Regression
- Unsupervised Learning in R
- Machine Learning with caret in R
- Modeling with tidymodels in R
- Machine Learning with Tree-Based Models in R
Prerequisites: There are no prerequisites for this track
What does the curriculum of the Machine Learning Fundamentals in R track include?
The curriculum of this DataCamp track consists of six specific courses, starting with Supervised Learning in R: Classification and Supervised Learning in R: Regression. Learners then progress to Unsupervised Learning in R. The latter half focuses on specific tools and methodologies, including Machine Learning with caret in R, Modeling with tidymodels in R, and Machine Learning with Tree-Based Models in R. Additionally, the track provides two supplementary items separated from the core courses: a bonus project titled Predict Future Sales of Fast-Food Menu Items, and a bonus skill assessment covering Machine Learning Fundamentals in R.
How much does it cost to access the Machine Learning Fundamentals in R track?
Accessing this track requires a DataCamp Premium subscription, as the Basic plan does not include Career and Skill tracks. As checked on September 8, 2026, the Premium subscription is priced at USD 35 per month regular for individual learners. Because the pricing model is subscription-based, the total cost to complete the program depends on the subscription route and billing periods selected. The provider estimates the track requires roughly 24 hours of total study time, though this duration is only a guideline and does not guarantee elapsed completion time.
Are there any prerequisites required before starting this educational track?
According to the official DataCamp documentation checked on September 9, 2026, there are no prerequisites required to begin the Machine Learning Fundamentals in R track. The provider specifically designates this as a beginner-level program. By working through the provided modules, individuals will be taught foundational predictive modeling concepts, including how to process data, train predictive models, evaluate modeling performance, and tune parameters. The provider identifies data science, machine learning engineering, and artificial intelligence as relevant career interests; those examples describe the audience, not a job-placement outcome.
What you actually do
What the credential is
- Credential type
- Statement of Accomplishment · www.datacamp.com / machine-learning-fundamentals
- Credential
- Statement of Accomplishment · www.datacamp.com / machine-learning-fundamentals
- Issuer
- DataCamp · www.datacamp.com / machine-learning-fundamentals
- Sharing
- Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review. · www.datacamp.com / machine-learning-fundamentals
Who should skip it
- Learners seeking machine learning instruction in Python or other languages, as this curriculum focuses exclusively on R. · Source
- Advanced data science professionals looking for complex, senior-level material, since the provider specifically designates this as a beginner track with no prerequisites. · Source
Alternatives in the registry
Related by topic or level.
- Supervised Machine Learning in R — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; 25 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