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Overview
Through this Data Analytics And Business Intelligence course from University of Westminster, delegates will develop the skills and knowledge required to gather, analyse, and interpret data effectively, enabling them to make informed and data-driven decisions. The course will cover topics such as big data analysis, customer demographics and behaviour, market trends, predictive modelling, dashboarding and reporting techniques, data visualisation tools, and best practices for effective data management and governance. Moreover, a number of BI platforms such as SAS and data analytics technologies such relevant Python libraries will be reviewed and explored.
Key facts
The course will also focus on providing practical experience through hands-on exercises and case studies where participants can apply what they have learned in a real-life scenario. This will help them develop critical thinking and problem-solving skills, which are essential for success in any field. By the end of the course, delegates should be able to apply these skills to solve real-world problems and improve their organisations' performance.
Programme Structure
Course structure:
- Concepts of Business Intelligences & Big Data Analytics
- Overview of SAS cloud-version and SAS coding
- A case study from practice
- Predictive modelling and descriptive analysis
- Linear regression for linear predictive modelling
- Applications of linear regression in SAS
Key information
Duration
- Full-time
- 5 days
Start dates & application deadlines
We did our best, but couldn't find the next application deadline and start date information online.
Language
English
Delivered
On Campus
Disciplines
Business Intelligence Data Analytics View 34 other Short Courses in Business Intelligence in United KingdomAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
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Other requirements
General requirements
This short course is for:
- Those who intend to enter the field of data science (Aspiring Data Scientists).
- Professionals who work as data analysts, business analysts and market researchers.
- Managers and decision makers who want to make data-driven decision without having technical knowledge.
- Entrepreneurs and founders who want to leverage data analytics and science for market advantages.
- Professionals in fields such as healthcare, marketing, finance, etc. who think about gaining insights from data for their practices.
Tuition Fee
To always see correct tuition fees
-
International
1195 GBP/fullTuition FeeBased on the tuition of 1195 GBP for the full programme during 5 days. -
National
1195 GBP/fullTuition FeeBased on the tuition of 1195 GBP for the full programme during 5 days.
Living costs for London
1137 - 2157 GBP /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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