Business Analytics using Excel - Business Analytics with AI
This certificate course comprehensively covers the use of business analytics using Microsoft Excel. Business analytics and ‘big data’ are fast becoming a critical business differentiator.
| Award Name | Certificate at UK Level 4 |
|---|---|
| NFQ Classification | |
| Awarding Body | Institute of Leadership and Management |
| NFQ Level |
| Award Name | NFQ Classification | Awarding Body | NFQ Level |
|---|---|---|---|
| Certificate at UK Level 4 | Institute of Leadership and Management |
Duration
Learners have 6 months to complete the course.
Entry Requirements
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.
• Level 4 (Ireland) certificate or equivalent qualification and/or relevant life and work experiences.
• Candidates must be fluent in English with excellent written English Skills to achieve the assessment criteria. Queries on the standard required can be directed to the college.
• As this programme is delivered through distance learning, students must be capable of studying on their initiative.
• Basic working knowledge of computers and access to a computer with internet access is required to do the course.
• For technical requirements required to access CMIT eLearning please see Provider's website
• For more details on the suitability of this course please see Provider's website.
Careers / Further progression
Transfer and Progression to Further Studies
• Learners who successfully complete this programme may progress to the Level 6 Diploma in Leadership and Management with CMIT.
Further information
Start date: Any time and work at your own pace.
€555
ILM Certificate in Leadership and Management Level 4 (UK) / comparable to Level 6 (Ireland).
Course Details
This ILM Certificate in Leadership and Management (Business Analytics option) course comprehensively covers the use of business analytics using Microsoft Excel. Business analytics and ‘big data’ are fast becoming a critical business differentiator. Bain and Company and the Economist Intelligence Unit/SAS found that companies with the most analytics capabilities are outperforming competitors by wide profit margins. The course covers how to use business analytics to describe, identify and predict behaviour.
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.
The course covers how to:
(1) define the analytics problem,
(2) acquire and blending datasets,
(3) clean datasets,
(4) use descriptive analytics,
(5) use predictive analytics, and
(6) present data and findings.
By choosing to study this ILM Certificate in Leadership and Management Business Analytics course with CMIT, students have 24×7 access to CMIT eLearning for the duration of the course. This includes a comprehensive Course Manual, Videos, Quizzes and personalised Tutor Support. The course documentation for this Business Analytics course is detailed and easy to read. You will also be able to upload assessments online and receive online feedback. You can use the eLearning system from any computer that has internet access.
Who should complete this course?
• Business Analysts: Professionals who analyse business data to make informed decisions and strategies, leveraging skills in descriptive, predictive, and prescriptive analytics.
• Data Analysts: Experts in handling, processing, and analysing data to extract meaningful insights, with a focus on data cleaning, acquisition, and blending.
• Marketing and Digital Marketing Professionals: Individuals in marketing who utilise analytics to understand market trends and customer behavior, aiding in effective marketing strategy development.
• e-Commerce and Web Analytics Specialists: Those involved in digital commerce and web platforms, using analytics to optimise online presence and customer engagement.
• Mobile and Social Media Channel Analysts: Professionals managing mobile and social media channels, utilising business analytics to track performance and user engagement.
Topics covered in this ILM Business Analytics course.
Unit 1: Using business analytics
• Business analytics and big data
• Categories of analytics
• Descriptive analytics
• Predictive analytics
• Prescriptive analytics
• Challenges with implementation
Unit 2: Understanding data
• Secondary and primary data sources
• Quantitative and qualitative data
• Quantitative data types
• Cross-sectional and ‘time-series’ data
Unit 3: Preparing datasets
• Overview of the business analytics process
• The business analytics problem
• Dataset acquisition and blending
• Dataset cleaning
Unit 4: Exploring, mining and interpreting analytics
• Evaluating data
• Tables
• Cross-tabulations
• Bar charts
• Pie charts
• Line graphs
• Scatter chart
• Key statistics
• Correlation
• Predictive analytics
• Final reports
Unit 5: Understanding the Organisational Culture and Context
• What is the organisation environment?
• PESTEL case studies
• Corporate culture
• Organisational ethics
• This business analytics course is assessed through a series of tutor-marked assignments.
• The course is highly practical and uses provided sample datasets which students work on to firstly clean data and create a data warehouse and then undertake a series of analytics tasks.
• As part of our quality assurance, learner assessment work will be marked by an Internal Assessor, then checked by an Internal Verifier and an External Verifier.
Tel: 01 286 5783
Email: info@cmit.ie