QQI Business Data Analytics

Digital Marketing Course - QQI Certified from CMIT eLearning

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.

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?
  • Those already working in the sector or with previous qualifications who want to update their knowledge.
  • Those considering a career in the sector.
  • Those who wish to enhance their skills in business data analytics.
  • Those who wish to gain a professional, accredited qualification by home study distance learning.
Entry Requirements / Prerequisites
  • 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.
  • 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.
  • Basic working knowledge of computers and access to a computer with internet access and word processing software is required to do the course. For technical requirements required to access CMIT eLearning click here>
  • Further details on the proficiencies required to complete awards at Level 6 are explained in the Equipped to Participate Statements. For more details on the suitability of this course click here>
How CMIT eLearning Works…

Topics covered in this Business Data Analytics course

Unit 1: Introduction to data analytics

  • Business analytics and big data
  • Categories of analytics
  • Descriptive analytics
  • Predictive and prescriptive analytics
  • Challenges with implementation

Unit 2: Understanding data 

  • Secondary and primary data
  • Quantitative and qualitative data
  • Cross-sectional and ‘time-series’ data

Unit 3: Preparing datasets

  • The business analytics process
  • Define the business analytics problem
  • Dataset acquisition and blending
  • Dataset cleaning

Unit 4: Exploring, mining, and interpreting analytics

  • Evaluating data
  • Tables and cross-tabulations
  • Bar charts and pie charts
  • Line graphs and scatter chart
  • Key statistics
  • Correlation
  • Predictive analytics
  • Final reports
  • 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
  • This course leads to a Level 6 component award on the National Framework of Qualifications.
  • Following successful completion, you will receive a QQI Level 6 component certificate in Business Data Analytics.
  • 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.
  • Click here for Accreditation Details
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