
Data Analytics for Business Support Functions – Start Your Journey (Virtual Classroom)
Back to Training- Date: 12 May - 18 Jul 2025
- Duration: 4 days effort over 4 weeks
- Time: 11:00 am to 12:00 pm
- Location: online
Data Analytics: Start Your Journey
Business Excellence / For Business Support Functions
4 days of effort over 4 weeks
(includes project & mentoring with Dave Clarke)
This data literacy course is aimed at anyone who wants to understand and improve their ability to use data for greater business benefit and is designed for those working in Business Support functions including
Finance, HR, Sales & Marketing, Supply Chain etc.
This programme includes breakout sessions, which include exercises to reinforce participants' learning from the online lectures. This means that the modules are now spread over a 2 week period.
Starts Monday, May 12th / Ends Friday, June 6th
Followed by 1-hour Course Evaluation & Review of Learnings on Friday, July 18th
Cost: €795 Member: €995 Non Member (per person)
With Skillnet funding applied
Click link to view full Course Schedule CourseScheduleMay2025_DataAnalyticsBES
Click link to view Course Structure: Business Excellence Skillnet Data Analytics Course Structure Overview May 2025_final
"Every company is a data company - have your voice heard when it comes to your company's data and AI strategies -
you are the subject experts - get comfortable with data - get stuck in."
Every company, regardless of its industry, is generating data and can use their data to gain significant competitive advantage. Competence in data analytics and data literacy helps develop critical thinking – a better critical thinking culture drives greater collaboration across the organisation to get better business decisions.
- Module 1: Modern Data Services & Business Analytics Introduction
- Module 2: Data Analytics Collaboration & Lifecycle Introduction
- Module 3: Introduction to Modern Data Architectures, Technology & Use Case Examples
- Module 4: Introduction to Review of Data with Marketing Leading Data Analytics Tool
- Module 5: Introduction to Analytics Theory & Methods
- Module 6: Putting it all together
- Optional: Introduction to Advanced Analytics Theory & Methods
- Mentor Sessions - Project Master Class
- Self-Directed Team Project
- Presentation of Team Project
- Course Evaluation and Review of Learnings
Learning outcomes:
- Become equipped with an understanding of what business questions can be answered by skillful interpretation of data
- Learn how data can drive decision-making in your business, resulting in better outcomes
- Better understand how data can inform and add value to your overall business strategy
- Understand the types of business questions that can be answered with a structured interpretation/analysis of the data your organisation has access to
- How to plan an analytics project to gather insights from data to answer relevant business questions
- Understand different types of analytical techniques that can be used to answer different types of business questions + where and when to use them / their advantages & disadvantages in different circumstances
This programme is designed to build your awareness and confidence so that you can use data to build business insights and improve decision making.
This is a tremendous opportunity to develop your analytical skills and drive the use of data in your organisation.
Prerequisites – please ensure this is prepared before the course begins:
- Have at least a trial version of Power BI desktop on your laptop
- If you are not familiar with Power BI, please watch approx 90-minute YouTube tutorial
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
Click ICBE Data Analytics Flyer-Business Excellence to view flyer