Introduction to Data Analytics

Most modules 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. Required to have completed mathematics and statistics modules that contain elements of linear algebra (specifically matrix manipulation) and calculus.

Having successfully completed this module, students 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 MSc Data Analytics or Professional Diploma Data Analytics PT or MSc in Digital Agriculture Full Time or MSc in Digital Agriculture Part Time.