Data Analytics : A Cross Functional Collaboration Programme

Data Analytics :

A Cross Functional Collaboration Programme

Advanced Productivity Skillnet

4 days of effort over 4 weeks
(includes project & mentoring with Dave Clarke)

Cost: €795 Member: €995 Non-Member (per person)
With Skillnet funding applied

Start Date: Monday, September 15th : End Date: Friday, November 21^st 2025  (detailed schedule below)
Enquire for in-company options.

For more info / to book a place, contact kate@icbe.ie

This Level 1 data literacy course is aimed at anyone who wants to understand and improve their overall data analytics maturity and is designed for those working in any function of an organisation.

 Advanced Productivity Data Analytics Brochure - Sept 2025

Data Analytics Structure Overview

See recent 30-minute webinar delivered by Dave & Helen Clarke

https://icbe.ie/webinar/data-analytics-for-everyone-how-to-use-data-to-enhance-your-role/

Learning outcomes:

• Become equipped with an understanding of what operational questions can be answered by skilful interpretation of data.
• Get to grips with how data can drive decision-making in your business, resulting in better outcomes.
• Learn how to work with different processes, tools and methodologies in order to build effective and efficient data analytic projects and programmes.
• Equip yourself with the skills necessary to answer the business questions presented by the new industry 4.0 era – by harnessing the latest data architectures.
• Speed up your ability to translate data into competitive advantages for your business, by working with the latest analytic techniques, tools and algorithms.

This programme is designed to empower you with the expertise and skills you need to mine, manage and analyse your organisation’s raw data and use it to build business insights and better decision making.

DURATION - 4 DAYS OF EFFORT OVER 4 WEEKS

Week 1: 

• 5 online lectures of 60 to 90 minutes
• 3 breakout session of 60 minutes to review lecture content

Week 2:

• 3 online lectures of 60 to 90 minutes
• 2 breakout sessions of 60 minutes to review lecture content
• 1 project mentor session of 60 minutes
• 2 hours non-contact time to complete course project

Week 3: 

• 6 hours non-contact time to complete course project
• 1 project mentor session of 60 minutes

Week 4:

• 4 hours non-contact time to complete course project.
• 1 project mentor session of 60 minutes
• online presentation of project results to class at end of course (2 hours)

Delivered by Clarke Analytics

Course Schedule