Business Analytics Essentials
Across industries, organizations generate large amounts of data which, in turn, has highlighted the need for professional to know how to interpret and analyse that information. With research showing that companies world-wide are using data to boost productivity, drive strategy, and improve financial performance, it is not surprising that global enterprises are predicted to accelerate their investment in analytics.
This entry level programme focuses on the basic, fundamental principles of extracting meaningful insights from data to facilitate decision making. It introduces the applications of business analytics to make informed business decisions and focuses on the basic, fundamental principles of extracting meaningful insights from data to facilitate decision making. The programme will walk you through ways to visualize data and gain useful knowledge for important strategic decisions.
Business Analytics Essentials is ideal for small business owners, mid-to senior-level managers who are in leadership positions – of business units, functions, and products – who want to understand and harness the value in their data.
Key Takeaways and Benefits
This immersive, entry level course encourages you to explore the data resources in your organisation and shall empower you to generate ideas, evaluate options and improve your decision making processes. You will walk away primed to view data in a new light and equipped to extract the value from data, driving opportunities and your competitive edge.
It will help you better use data, and understand fundamental concepts and principles that underlie techniques for extracting useful knowledge from data.
The Business Analytics Essentials programme introduces the applications of business analytics in the business environment. As an entry level course it focuses on the basic, fundamental principles of business analytics and walks you through the business analytics thinking necessary for extracting useful knowledge and business value from data.
On the Business Analytics Essentials Programme you will;
- Understand basic business analytics methods and applications
- Conduct simple business analytics tasks using Knime
- Develop business analytics thinking
- Approach business problems analytically
- Implement a plan to drive a competitive edge from your organisation’s valuable data asset
Participant Profile
The programme is ideal for small business owners, mid-to senior-level managers who are in leadership positions – of business units, functions, and products – who want to understand how to use analytics to harness the value in their data.
This programme is suitable for professionals from any industry, especially those who work with data, mid-to senior-level managers, leaders of a functional department, head of a business unit or product development, executive with general management responsibilities and those who wish to understand, innovate and embrace the opportunities presented from leveraging data. Our immersive on campus classes provide real world insights for executives to explore how to extract value from data and align your organisation to compete and thrive in our fast paced environment.
This programme is essential for organisation’s and executives keen to drive value from their data and wishing to gain the knowledge, expertise and tools to successfully innovate and differentiate from the competition.
DAY 1 |
Introduction to business analytics |
---|---|
DAY 2 |
Applications of business analytics I |
This is an immersive 2 day programme delivered in-person.
MARCH DATES |
TIME |
MODULE |
DELIVERY MODE |
12/03/2024 | 09:30-16:30 | Day 1 | On Campus at Riddel Hall |
13/03/2024 | 09:30-16:30 |
Day 2 |
On Campus at Riddel Hall |
OCTOBER DATES |
TIME |
MODULE |
DELIVERY MODE |
17/10/2024 | 09:30-16:30 | Day 1 | On Campus at Riddel Hall |
18/10/2024 | 09:30-16:30 |
Day 2 |
On Campus at Riddel Hall |
MARCH 2025 DATES |
TIME |
MODULE |
DELIVERY MODE |
20/03/2025 | 09:30-16:30 | Day 1 | On Campus at Riddel Hall |
21/03/2025 | 09:30-16:30 |
Day 2 |
On Campus at Riddel Hall |
What are past participants saying about this programme?
“I would highly recommend the Business Analytics Essentials Course. It was really informative and interesting to discover the various ways we can use the data available to us and how we can analyse this data to help solve business problems. Professor Min Zhang is very knowledgeable, helpful and used real life examples to aid our understanding of predictive analytics and time series forecasting. The programme was well structured with a variety of helpful information, which many of the class agreed will be helpful at implementing new processes when we return to our workplaces.” Rosemary Breen - Assistant Statistician, NISRA.
“I would definitely recommend the Data Analytics and Decision Making course. The course gave a comprehensive overview of the primary methods used to collect, evaluate and use date in the decision making process. In today’s environment where there is so much data available, it can be challenging to understand how conclusions have been arrived at. This course gives you the confidence to ask the appropriate questions of the analyst on how data has been collected and analysed to ensure that decisions are taken using the best information available.” Adrian Colton - Finance Director, EGH NI Limited (trading as Evermore)
"The Business Analytics Essential Programme was very innovative, informative, and instructive. The lecturer made it really easy to understand, breaking down the course components using real life examples. I can’t wait to incorporate what I have learned for productive results in my professional and everyday life. It was such an awesome experience for me, and I am very happy having the opportunity to take part in the programme". Olajumoke Adenuga - New Business Processor, HUB Financial Solutions

We have a range of package options to support your Senior Executive experience with executive coaching and mentoring. Please contact us directly to discuss your requirements. Please email: Sue.Burns@qub.ac.uk
QUB Executive Coaching Brochure