Data Analysis and Statistics


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Course Overview

Additional funding awarded for Modular Skills Courses starting in September 2021

This Modular Skills Provision course is funded by the Government of Ireland as part of an extension to the July Stimulus Provision Package 2020. This Higher Education initiative is part of the Government’s response to COVID-19 and is designed to help people enhance their employability, upskill and re-skill in the current climate.

All our courses are modules from our QQI approved BA and MA programmes in Business and Law and range from level 6 to 9 on the National Framework of Qualifications (NFQ) with 5 to 15 ECTS credits on offer. This enables successful learners to progress to a full qualification, with an exemption from that module/s for the corresponding BA or MA programme if they decide to do so at a later date. The courses are a blend of theory and practical learning and will provide participants with skills that can be immediately put into practice in the workplace.

The modular courses have a limited number of places available so early application is recommended. Places are allocated on a first-come-first-bases. The courses will be delivered live online and recorded for repeat viewing.

Eligibility

Eligible: Unemployed / Returners / Employed / Previously Self-Employed

+ This *level 6 course is fully funded for all applicants.If you are unemployed, employed, a PUP receiver or returner to the workforce.

*All Level 6 courses are free to all category of participants.

+ Other requirements in respect of modular skills courses will align with Springboard+ eligibility criteria.
+ Further information on eligibility can be found here
+ Eligible applicants must be resident in Ireland and must meet the nationality and EU residency rules as aligned to Springboard as detailed here.

Please note in the case of Modular Skills Courses – applicants can register on multiple modular courses as long as they do not exceed 30 credits across all institutions.

What is the Course about?

Data Analysis is an ever-evolving discipline with lots of focus on new predictive modelling techniques coupled with rich analytical tools that keep increasing our capacity to handle big data. However, in order to chart a coherent path forward, it is necessary to understand where the discipline has come from since its inception. The field of Business Intelligence depends largely on data analysis tools and techniques in order to inform effective decision-making. In fact, the disciplines are so intertwined that some often confuse the two. Therefore, this level 6 short course offers an introduction by examining the history of Business Intelligence, its relationship to data analysis, and why the two are needed to help businesses deliver a complete assembly of their ‘data puzzle’. This module also addresses some of the hurdles that businesses face when dealing with data overload and suggests some possible solutions to the problem.

Course Outline

This course is a constituent module within semester 2 of our BA (Hons) in Business Studies QQI approved course. It is therefore, on successful completion, learners will be exempt from this module on the level 8 programme and be able to gain a full level 8 qualification by undertaking the remaining modules should they wish to do so at a later stage. This module is also stand-alone and open to all levels so that participants can acquire skills and put them into practice immediately in the workplace.

The aims of this module are to educate the learner in the terms, of the language used, the impact business intelligence and data analytics can have on a businesses success and allow the learner to gain knowledge of the scope and application of data analysis. Suggest to the learners’ ways to measure the performance of and improvement opportunities for business processes; enable the learner to gain the ability to describe the need for tracking and identifying the root causes of deviation or failure; and support the learner to gain the ability to review the basic principles, properties, and application of probability theory.

Course Topics:
+ Data Driven Business
+ Data Collection, Cleansing and management
+ Techniques for Data Analysis and Presentation
+ Tabulation of Data & Frequency Distribution
+ Introduction to probability and statistics in business decision making (including,
basic distributions (i.e. normal and bi-nomial), measures of central tendency,
measures of variation, confidence intervals, hypothesis testing, correlation and
regression)
+ Statistical measures and measures of skewness – mean, mode, median, standard
deviation and coefficient of variation
+ Conditional Probability and Expected Value
+ Data Visualisation Techniques
+ Presentation tools and skills

Meet the Lecturer

Joe Keating, CDO, Glantus.

Joe Keating, CDO, Glantus.

Joe Keating is Chief Data Officer at Glantus where he drives the company strategy to optimise the use of Data, Analytics and Automation based on the Glantus technology platform. He also works with businesses to become more Data Driven, by putting Data to work within their organisation – simply. During the last 20 years, Joe has helped companies across Ireland, Europe and beyond to bring the benefits of Data and Analytics into their business.

He started his career with PM Group, designing and delivering data driven solutions into enterprise organisations. Joe became a founding member of the Data and Analytics practice at Version 1, and spent several years driving Data Strategy implementations for diverse companies across Ireland and UK. At Dublin Airport, Joe helped shaped the Group Data Strategy and managed the delivery of key Data and Analytics initiatives across the organisation. To improve efficiency, drive revenue and reduce costs. In his spare time, Joe is the Chairman of the ‘Data & Technology Advisory Group’ at Airfield Estate, working to identify areas where Data/Tech can be applied effectively to progress the organisation and their vision.

View Joe’s LinkedIn profile here

Entry Requirements

There are no academic entry requirements required for this course.

Course Duration

This course will be provisionally delivered every Tuesday for 10 weeks starting 7th September at 18:30 – 21:00hrs. Each session will be streamed live and recorded via Zoom for repeat viewing.

Course Timetable & Assessment Criteria

Full course timetable will follow shortly. This course will be provisionally delivered every Tuesday for 10 weeks starting 7th September at 18:30 – 21:00hrs.

Really enjoyed the course, it really got me thinking about the true value of data. The mix of both theory and practical was well balanced and made it a very interactive course. Thank you to the lecturer Joe Keating. I’m now on the lookout for what to do with my Tuesday nights, might make it “learning Tuesday’s” for the rest of the year.Nev Ross | Class of 2021
Joe Keating was such an engaging lecturer. It wasn’t only a comprehensive hands-on dive into data analysis, but a very heart-warming and fun time too. At the start it felt a bit intimidating to do a new course with kids at home and full-time work, but Joe’s enthusiasm and delivery style made it feel possible. I now have more valuable skills in my portfolio.Ekaterina Stirling | Class of 2021
I was initially attracted to this course as while I was working with data on a day today basis and had plenty of experience, I lacked some of the broader concepts of the Data analytics sphere. In an age where information is in abundance and the market is saturated with a variety of courses on the topic, I found that this course offered exactly what I was looking for. The feedback and guidance you get from the lecturer as well as the wider discussion with the class really added to the confidence and grasp of concepts you gain. This also provided an excellent opportunity for networking and gave students some professional marketing value with prospective employers. I really enjoyed the course and I would recommend this course to anyone who is considering a career in the data analytical field. Jonathan Kenna | Class of 2021

No Fees Apply. *All Level 6 courses are free to all category of participants.

Data Protection
Personal data may be shared with the Higher Education Authority, for example to determine eligibility for funding or for statistical purposes. This will at all times be done in compliance with GDPR and the Data Protection Act 2018. Further information can be found at https://hea.ie/about-us/data_protection

If you have questions about the course please
Fill out the Online Enquiry Form here

If you want to apply directly for a place on the course please
Fill out the Online Application Form here

or you can also contact the Admissions Office:
[email protected]