Introduction to Data Analytics

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. A basic knowledge of linear algebra and calculus is required.

Having successfully completed this micro-credential, learners  will be able to:

• Summarise a data set using appropriate graphical and numerical methods.
• Understand the basic laws of probability and compute probabilities for several different distributions.
• Understand the principle of inferential statistics, estimate population characteristics and provide confidence intervals for those estimates.
• Understand the principles of hypothesis testing and for a specified investigation, given the background, identify an appropriate test and interpret the results.
• Understand and compute the equation of the least squares line, compute confidence intervals and prediction intervals from the least square estimates and perform some basic diagnostic checks on the performance of regression models.

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 module 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