Data Analytics For Business Decision-Making
Gain greater insight from your data with this short course in Data Analytics for Business Decision-Making. In the ‘age of analytics’ where data is often said to be the new oil, having the tools and techniques to manage and analyse data effectively is essential.
Join us on this short course where you will dive into the world of data analysis, modelling and visualisation. The course will help you leverage the benefits of data analytics for business and explore the opportunities that different technologies and software present. Develop your skill-set, leverage more value from your data and upskill in analytics with this 10 week course.
This short course aims to provide an understanding of the principles of data and business analytics. Using real-life scenarios, you will learn to apply analytics processes, algorithms and methodologies to business problems using data to make informed business decisions.
We will provide you with the skills and knowledge required to understand the data analytics and data mining lifecycle (CRISP-DM). You will explore the roles and responsibilities in business analytics and learn how develop a data-driven strategy. A broad overview of key concepts and principles including descriptive analytics and predictive analytics will be provided. You will develop the ability to present data in an appropriate format for a range of audiences.
This short course can be completed in 10 weeks. Students are expected to take eight weeks to complete online materials and then work on a real-world project for themselves or their company/ organisation.
On completion of this course, students are expected to be able to:
- Demonstrate an understanding of CRISP-DM and all stages of the Data Mining Life Cycle
- Analyse a range of data types
- Approach business problems using data analytics
- Apply business analytics tools to generate business insights
- Present data in an appropriate format for a range of stakeholders
Upskilling Courses
In partnership with the Scottish Funding Council (SFC), our online upskilling short courses have been developed in response to feedback from businesses regarding their people and skills needs and are therefore helpful for individuals considering their employment options as well as organisations looking to upskill their employees. Find out more:
Disclaimer
The University regularly reviews its courses. Course content and structure may change over time. See our course and module disclaimer for more information.
Learning Methods
There is a short online induction session where you can get to know your classmates and learn more about the aims and structure of the course. You will then embark on approximately 8 weeks of study delivered online. Teaching is broken down into short manageable lessons (approximately 40 minutes) and activities (approximately 2hrs per week) that you can study in your own time and at your own pace. While studying online you will have access to your tutor, who will be able to answer any questions you may have.
As you progress through the course, you will be supported through online tutorials where you can discuss your progress with your tutor and class-mates, before looking at how to put your data analytics skills and knowledge into action through a project of your own. At the end of the ten week course, you will submit an applied data analytics coursework.
To complete this course you will need access to a modern laptop or computer running an up-to-date operating system and a reliable internet connection.
Assessment
Typically students are assessed through a portfolio assessment.
Independent Study
The majority of this course is completed through online independent study, it is expected that you will spend approximately 3-5 hours per week working on this module. Whilst you are studying independently you won’t be alone. Your tutor will be there to support you throughout the module.
Staff delivering on this course
This short course has been developed by a team with extensive academic and professional experience in Business and Data Analytics. The course team bring experience from Business Analytics, Information Management, Communications, Marketing and Computing Science. Having previously developed the MSc Business Analytics and with extensive professional and academic experience in related areas, the course team brings a wealth of knowledge to this exciting growth area.
Academic Support
The Inclusion Centre advises and supports students who disclose a sensory or mobility impairment, chronic medical condition, mental health issue, dyslexia and other specific learning differences. Applicants are encouraged to arrange a pre-entry visit to discuss any concerns and to view the facilities.
Online Learning & Support
All online learning students, benefit from using our collaborative virtual learning environment, CampusMoodle. You will be provided with 24/7 online access to your learning material and resources, along with the ability to interact with your class members and tutors for discussion and support.
Study Skills Support
The Study Support Team provides training and support to all students in:
- Academic writing
- Study skills (note taking, exam techniques, time management, presentation)
- Maths and statistics
- English language
- Information technology support
Library Support
The Library offers support for your course, including the books, eBooks, and journals you will need. We also offer online reading lists for many modules, workshops and drop-ins on searching skills and referencing, and much more.
There are no pre-requisites for this course.
For Session 2020/2021
- Course fees will be met in full for a limited amount of applicants who qualify for funding by the Scottish Government through Data Skills for Work at The Data Lab. To qualify for funding, applicants must be employed in Scotland and working for an SME. Eligible applicants will be contacted following application and places will be offered on a first-come first-serve basis.
- £350 entire course - Applicants who are not eligible for this funding or are currently receiving other funding for other courses.
Additional Costs
The following course-related costs are not included in the course fees:
Disclaimer
For new intakes course fees are reviewed and published annually for each mode of delivery. Tuition fees are fixed for the duration of a course at the rate confirmed in the offer letter. For further information see:
Have a question about the course? Get in touch with the team and we'll do our best to help.