QQI Business Data Analytics (with AI)

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.

This distance learning, QQI accredited Business Data Analytics course, means that learners can study flexibly at home, or at work, and gain a nationally accredited Qualification.

By choosing to study this course with CMIT, learners have 24×7 access to CMIT eLearning for the duration of the course. This includes a comprehensive course manual, video, quizzes and personalised Tutor Support. Learners will be able to upload assessments online and receive online feedback from their dedicated Tutor. The eLearning system can be used from any computer that has internet access.

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 analyzing 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 behavior.

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 and a Portfolio.
All work submitted must be the learners own work. There is no exam for this course.
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
When you complete this course, you can use it as a credit (part completion) against CMIT’s QQI Level 6 Advanced Certificate in Digital Marketing, which can be completed over time by completing individual modules.

Accreditation
Following successful completion, you will receive a QQI Level 6 component certificate in Business Data Analytics (6F22327).
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.