QQI Business Data Analytics (with AI)

QQI Level 6 Certificate in Business Data Analytics course

Learners have 10 weeks to complete the course. Learners work at their own pace and may commence at any time of year

Accredited
Qualification on the NFQ (Ireland).

Tutor-supported
eLearning course with Tutor Support.

Flexible
Start any time and work at your own pace.

Learn anywhere
Learn anytime, anywhere.

QQI Business Data Analytics (with AI)

€395

or 3 interest-free payments with Klarna Logo

Course Details

This is a highly practical distance learning Business Data Analytics course designed to provide learners with an introduction to the different types and categories of data, the skills needed to prepare datasets, explore, and mine data, interpret data analytics and report on their findings.  The course shows how to use Excel and AI tools such as ChatGPT and Gemini to implement analytics tasks.

It is suited for those who are working in business and wish to acquire data analysis skills, digital marketers who utilise analytics as part of their role or those consider analytics as a career or education path.

View a detailed list of the learning outcomes for this course on our learning outcomes page.

How you will learn

By enrolling on this course, you’ll receive 24/7 access to the eLearning platform for the full duration of your studies. This includes a detailed course manual, engaging videos, interactive quizzes, and dedicated one-to-one tutor support via a messaging system. You’ll also have access to the CMIT Digital Library, providing a wealth of additional resources.

The course materials for this QQI-certified programme are clearly structured and easy to follow. You can conveniently upload your assessments online and receive feedback through the eLearning platform. You will receive personalised feedback from your tutor on each assessment you submit. The CMIT eLearning platform is accessible from any internet-connected computer, giving you the flexibility to study anytime, anywhere.

Who should complete this Business Data Analytics course?
  • Data Analysts: These roles involve interpreting data to offer actionable insights for businesses, which is a central focus of the course. Data Analysts in Ireland had an average salary of around €43,000 as of 2021​​.
  • Business Development and Strategy Professionals: Understanding analytics is valuable for roles focused on business growth and direction. The U.S. Bureau of Labor Statistics projects a 14% growth in management analyst positions between 2020 and 2030, indicating a growing need for analytics skills in these areas​​.
  • Digital Marketing Professionals: Analytics skills are vital for roles like Digital Marketing Manager or SEO Specialist to gauge the impact of marketing campaigns. 64% of marketers actively invest time in data analysis, highlighting the role of data analytics in marketing​​.
  • Business Intelligence Analysts: Professionals in this role who focus on analysing complex data to assist in decision-making processes will benefit from the course’s emphasis on predictive and prescriptive analytics.
  • Market Research Analysts: Those involved in market research will find the course useful for its coverage on data collection, analysis, and interpretation, crucial for understanding market trends and consumer behaviour.
Entry Requirements / Prerequisites
  • Leaving Certificate or Level 5 Award or equivalent or relevant life/work experience.
  • Learners must be a resident of Ireland / based in Ireland and have a valid PPS Number.
  • Students should have a ‘good working knowledge’ of Excel and have access to Excel 2016 or later. A ‘good working knowledge’ is defined as the ability to create sheets, add data, sort cells, use basic formulas, and make tables/charts.
  • Basic working knowledge of computers and access to a computer with internet access and word processing software is required to do the course.
  • As this NFQ qualification is delivered through English it is necessary to have sufficient written English skills to complete this course. Those who are not fluent in English will be required to provide evidence of meeting a minimum English language and literacy competency of B2 in writing, reading, listening, and speaking on the Common European Framework of Reference for Languages (CEFRL).
  • View the technical requirements for accessing CMIT eLearning.
  • Learn more about the suitability of this course.

How CMIT eLearning Works…

Play
Topics covered in this Business Data Analytics course
Unit 1: Introduction to data analytics
  • Business analytics and big data
  • Categories of analytics
  • Challenges with implementation
Unit 2: Understanding data
  • Secondary and primary data
  • Quantitative and qualitative data
  • Quantitative data types
Unit 3: Preparing datasets
  • The business analytics process
  • Define the business analytics problem
  • Dataset acquisition and blending
  • Dataset cleaning
  • Evaluating data
Unit 4: Exploring, mining, and interpreting analytics with Excel and AI
  • Tables
  • Cross-tabulations
  • Graphs and Charts
  • Key statistics
  • Correlation
  • Predictive analytics and Algorithms
  • Final reports
Assessment
  • This course is assessed through completion of an assignment worth 35% and a portfolio worth 65%.
  • An assignment is a task or set of tasks completed by a learner to demonstrate understanding of specific learning outcomes. A project is a structured task that requires planning, research, and problem-solving to produce a final product or solution.
  • Assessments are submitted online via the eLearning site. They are reviewed by the course tutor and feedback is provided to learners within 5 working days. Learners are only permitted to submit one assessment at a time and must receive feedback on one assessment before submitting the next. All work submitted must be the learners own work.
  • As part of our quality assurance, student assessment work will be marked by an Internal Assessor, then checked by an Internal Verifier and an independent QQI External Authenticator.
Transfer and Progression to Further Studies
Accreditation
  • Following successful completion, you will receive a QQI Level 6 component certificate in Business Data Analytics (6F22327). This component is worth 20 credits.
  • This is the most up to date programme on this topic and it has been developed based on learning outcomes which are approved by QQI.
  • Quality and Qualifications Ireland (QQI) is the national awarding body for further education and training in Ireland. CMIT is registered with QQI to offer programmes leading to QQI awards in the National Framework of Qualifications in Ireland. More information can be found on the Accreditation Details page.

 

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Student Reviews of this course

4.4
4.4 out of 5 stars (based on 9 reviews)
Excellent44%
Very good56%
Average0%
Poor0%
Terrible0%

No Title

October 14, 2025

So far I’m loving the course and I find the quizzes very helpful to get a better understanding on each chapter. I’m looking forward to starting my next assessment and to learn more about this course.

Student September 2025

No Title

April 3, 2025

I read very strong and positive reviews for both CMIT and for this course. I had an overall negative experience with another online college that I completed a QQI Level 6 course on and wanted to be sure that I was not going to have similar problems. Issues such as lack of clarity around assignments, which resulted in me having to re-do a task and then seek an extension from admin. All of that led to a lot of stress. I like that the CMIT assignments for this course are laid out clearly and the coursework seems reasonable and do-able within the 10 week time frame. I think the learning plan was a good idea to have to complete at the start of the course. Seeing the assessments and tasks I need to complete in the plan helped me get myself organised and create a timetable for studying. The videos are clear and concise.

Student March 2025

No Title

March 20, 2025

It is an interesting and informative course so far

Student February 2025

Very interesting, will definitely enable me to improve my work life with the use of everything I have learned.

September 19, 2024

Very interesting, will definitely enable me to improve my work life with the use of everything I have learned.

Student September 2024
Verified

The course was interesting and kept my attention throughout. It was written in a way that was easy to understand.

August 28, 2024

The course was interesting and kept my attention throughout. It was written in a way that was easy to understand.

Student August 2024
Verified

I am enjoying the course. It is broken down into manageable chunks. There is a well-balanced mix of theory and practical exercises. I feel the course is very applicable to my role as an accountant and I have certainly acquired some knowledge that I will apply to my everyday work going forward.

August 28, 2024

I am enjoying the course. It is broken down into manageable chunks. There is a well-balanced mix of theory and practical exercises. I feel the course is very applicable to my role as an accountant and I have certainly acquired some knowledge that I will apply to my everyday work going forward.

Student August 2024
Verified

Very interesting, and very clear and effective notes. I look forward to moving on to the next topics and don't find myself bored while studying.

May 20, 2024

Very interesting, and very clear and effective notes. I look forward to moving on to the next topics and don’t find myself bored while studying.

Student May 2024
Verified

The course outlines was very robust and it has expanded my knowledge of business data analytics.

March 12, 2024

The course outlines was very robust and it has expanded my knowledge of business data analytics.

Student March 2024
Verified

It was a very interesting course and easy to access. It was also fantastic to be able to study and submit my coursework at a time that suited me.

June 23, 2023

It was a very interesting course and easy to access. It was also fantastic to be able to study and submit my coursework at a time that suited me.

Student June 2023
Verified

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