Statistical Machine Learning

Most micro-credentials require a 2.2 degree in a related discipline or equivalent professional experience. Should you have any queries regarding your eligibility, please contact us at info@advancecentre.ie.

N.B. Specific requirements:

• Basic knowledge of linear algebra (vectors, vector spaces, matrices), calculus (derivatives), and function optimization.
• Basic understanding of statistical inference (confidence intervals, hypothesis testing, etc.) and familiarity with common probability distributions.
•  Basic knowledge of regression analysis and linear models.
• Familiarity with the R software for statistical computing and data programming.

On completion of this micro-credential, students should have acquired the following skills:

• Have an understanding of the theory regarding all the statistical learning methods introduced
• Being able to use the different techniques according to the context and the purpose of analysis
• Being able to evaluate the performance of the statistical learning methods introduced
• Use the statistical software R to implement these methods and being able to interpret the relevant output

Learn from world renowned academic staff in Ireland’s leading, future focused and globally recognised colleges.

Gain an accredited NFQ qualification/micro credential that you may count towards a full award if you so wish in the future.

Previous modules may be used as recognition of prior learning towards Advance Centre degree programmes.

Equip yourself with the latest in demand skillset, tools, know-how and knowledge to succeed in your career.

Gain a competitive edge, influence growth and steer strategic goals in your organisation upon completion of your studies with the Advance Centre.

Yes, if you complete this micro-credential it can be credited as part of the  Professional Diploma Data Analytics PT 

The learner subsidy is provided for this micro-credential to reduce the learner fee by 80%.

 For eligibility criteria please visit the link