Program profile · official sources
Machine Learning Fundamentals in Python
DataCamp provides the Machine Learning Fundamentals in Python learning track as an online, self-paced program. The curriculum consists of four courses, beginning with supervised learning using the scikit-learn library and progressing through unsupervised learning techniques. You subsequently study deep learning with PyTorch, which involves constructing a neural network from scratch, and conclude with reinforcement learning utilizing the Gymnasium library. In addition to the four courses, the track incorporates three bonus projects and one bonus skill assessment. Access requires a Premium subscription, which is priced at USD 35 for a regular one-month period. This beginner track lists no prerequisites and focuses on Python rather than R. Upon completing the track, you earn a Statement of Accomplishment from DataCamp.
Facts checked 8 Sep 2026
- Price
- DataCamp Premium · USD 35/month for course content, billed monthly at the regular price
- Premium for Individuals. English public pages with USD explicitly selected; visitor country not stated. Monthly regular access observed 2026-09-08 was USD 35. Annual regular access observed 2026-09-05 was USD 330, billed annually; a time-limited promotion was displayed on 5 September 2026. Access price is not a guarantee of track completion. ·
- Provider link
See price and enroll at DataCamp (official site) ↗
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- Time
- 16 hours
- 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.
- Format
- Online self-paced learning track
- 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.
Sources ↗
- Price · https://www.datacamp.com/pricing?period=monthly
- Duration · https://www.datacamp.com/tracks/machine-learning-fundamentals-with-python
- Official program page · https://www.datacamp.com/tracks/machine-learning-fundamentals-with-python
- Provider subscription terms · https://www.datacamp.com/pricing?period=monthly
Course and activity access
Career and Skill tracks: Not included / Included / Included (Basic / Premium / Teams).. 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 with scikit-learn
- Predictive Modeling for Agriculture
- Unsupervised Learning in Python
- Clustering Antarctic Penguin Species
- Introduction to Deep Learning with PyTorch
- Reinforcement Learning with Gymnasium in Python
- Taxi Route Optimization with Reinforcement Learning
- Machine Learning Fundamentals in Python
Prerequisites: There are no prerequisites for this track
What are the prerequisites for this DataCamp track?
There are no prerequisites required to begin the Machine Learning Fundamentals in Python track on DataCamp. The provider explicitly states that this is a beginner-level program suitable for individuals who are entirely new to the discipline of machine learning. The curriculum is designed to accommodate aspiring data scientists, AI researchers, and machine learning engineers who are seeking a starting point in the field, guiding them from fundamental concepts to more advanced applications using Python.
How much does it cost to access this machine learning track?
Accessing the Machine Learning Fundamentals in Python track requires a DataCamp Premium subscription, as the Basic free plan does not include access to full career and skill tracks. The regular cost for an individual Premium subscription is USD 35 per month. This monthly fee provides access; it is not a guaranteed total cost to complete the sixteen-hour program. Because the track is self-paced, your access cost depends on the subscription route and billing periods selected. The three projects and skill assessment are listed as bonus items.
What credential will I receive upon completing the curriculum?
When you successfully complete all the required components of the Machine Learning Fundamentals in Python track, DataCamp issues a Statement of Accomplishment. You can add this digital credential to your resume, curriculum vitae, or LinkedIn profile to record completion of the program. However, the official documentation does not indicate that earning this Statement of Accomplishment requires passing a formal, proctored examination. Furthermore, DataCamp does not state whether this specific credential expires over time or if it carries any mandatory renewal requirements, so retain these details as unknown. The bonus skill assessment is not evidence of a mandatory certification exam.
What you actually do
- Supervised Learning with scikit-learn · Course; provider-listed track item. · Source
- Predictive Modeling for Agriculture · Bonus project · Source
- Unsupervised Learning in Python · Course; provider-listed track item. · Source
- Clustering Antarctic Penguin Species · Bonus project · Source
- Introduction to Deep Learning with PyTorch · Course; provider-listed track item. · Source
- Reinforcement Learning with Gymnasium in Python · Course; provider-listed track item. · Source
- Taxi Route Optimization with Reinforcement Learning · Bonus project · Source
- Machine Learning Fundamentals in Python · Bonus skill assessment · Source
What the credential is
- Credential type
- Statement of Accomplishment · www.datacamp.com / machine-learning-fundamentals-with-python
- Credential
- Statement of Accomplishment · www.datacamp.com / machine-learning-fundamentals-with-python
- Issuer
- DataCamp · www.datacamp.com / machine-learning-fundamentals-with-python
- 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-with-python
- Exam required
- provider does not state · www.datacamp.com / machine-learning-fundamentals-with-python
- Credential expires
- provider does not state · www.datacamp.com / machine-learning-fundamentals-with-python
- Renewal
- provider does not state · www.datacamp.com / machine-learning-fundamentals-with-python
Who should skip it
Alternatives in the registry
Programs from other providers, a comparison and a guide.
- Machine Learning with K-Nearest Neighbors (365 Data Science)
- Artificial Intelligence Professional Program (Stanford Online)
- Comparison: Machine Learning Fundamentals in Python vs. Deep Learning in Python: which fits your learning goal?
- Guide: Machine Learning at One Hour a Day: What the Course Pages Add Up To
Change log
- : Initial review of official program, curriculum, credential and subscription-access sources. · Source