Program profile · official sources
Machine learning scientist
365 Data Science's machine learning scientist career track is a 100% online sequence of ten courses with 29 hours of listed content, labelled advanced. The listed curriculum covers linear algebra and feature selection, math for ML, machine learning in Python, and algorithm courses on Naïve Bayes, k-nearest neighbors, decision trees and random forests, support vector machines, and ridge and lasso regression, plus two A-Z overviews. Finishing the track earns a 365 certification; 365's general terms require passing course and career-track exams at 60% or above. As shown in the United States on 3 October 2026, access sits in the Self-study plan at USD 29 a month billed annually; there is no fixed completion price.
Facts checked 3 Oct 2026
- Price
- See pricing
Price observation recorded 3 Oct 2026 (not a current price): As shown in the United States on 3 October 2026, the 365 Data Science pricing page displays a Free plan at $0/month (course previews, projects, exercises and practice exams) and a Self-study plan at $29/month billed annually, shown against a $36/month reference price; a billed-monthly option is shown without a separate amount in the captured page. The FAQ states $29/month. A Lifetime plan shows no amount (Contact us). Accredited certificates are listed under Self-study, not Free. These are platform subscription quotes, not a fixed career-track completion total.
- Time
- 29 hours of content (provider-listed)
- Level
- Advanced
- Credential
- Provider-issued certification
Verifiable with a Credential ID and Credential Link; can be viewed, downloaded and shared. Accredited certificates are listed under the Self-study plan.
- Prerequisites
- No formal prerequisite is stated on the track page. The provider labels the track advanced.
- Format
- 100% online career track
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Linear Algebra and Feature Selection
- Math Foundation for ML
- Machine Learning in Python
- Machine Learning with Naïve Bayes
- Machine Learning with K-Nearest Neighbors
- Machine Learning with Decision Trees and Random Forests
- Machine Learning with Support Vector Machines
- The Machine Learning Process A-Z
- Machine Learning with Ridge and Lasso Regression
- The Machine Learning Algorithms A-Z
Prerequisites: No formal prerequisite is stated on the track page. The provider labels the track advanced.
What you actually do
- Linear Algebra and Feature Selection : Course · Source
- Math Foundation for ML : Course · Source
- Machine Learning in Python : Course · Source
- Machine Learning with Naïve Bayes : Course · Source
- Machine Learning with K-Nearest Neighbors : Course · Source
- Machine Learning with Decision Trees and Random Forests : Course · Source
- Machine Learning with Support Vector Machines : Course · Source
- The Machine Learning Process A-Z : Course · Source
- Machine Learning with Ridge and Lasso Regression : Course · Source
- The Machine Learning Algorithms A-Z : Course · Source
What the credential is
- Credential type
- Provider-issued certification · 365datascience.com / machine-learning-scientist
- Credential
- Machine Learning Scientist certification · 365datascience.com / machine-learning-scientist 365datascience.com / certificates 365datascience.com / pricing
- Issuer
- 365 Data Science · 365datascience.com / machine-learning-scientist 365datascience.com / certificates 365datascience.com / pricing
- Sharing
- Verifiable with a Credential ID and Credential Link; can be viewed, downloaded and shared. Accredited certificates are listed under the Self-study plan. · 365datascience.com / certificates
- Exam requirement
- Finish the career track (track page); 365 states career-track certificates involve course and career-track exams and that certifications require 60% or above on the respective exam. · 365datascience.com / certificates
Who should skip it
- Look elsewhere for deep learning or NLP depth: the overview mentions them, but none of the ten listed courses is a deep learning or NLP course. · Official source · 2026-10-03
- Do not assume that finishing the content alone certifies you: 365 certifications require passing the respective exams at 60% or above. · Official source · 2026-10-03
Alternatives in the registry
Related by topic or level.
- Convolutional Neural Networks with TensorFlow in Python : Check official price; 4 hours (provider headline; module and exam timings listed separately).
- Deep Learning with TensorFlow 2 : Check official price; 5 hours (provider headline; module and exam timings listed separately).
- Deep Learning with Pytorch : Check official price; 2 hours (provider headline; module and exam timings listed separately).
Change log
- : Initial record from the official pages captured from the United States on 3 October 2026. · Source