Overview
Course summary
The objective of this course is to provide delegates with a comprehensive understanding of data analytics techniques and their applications in the field of business intelligence. It also helps participants understand how to effectively use data analytics and business intelligence tools to gain insights into their organisations' performance, identify areas for improvement, and make informed decisions that drive growth and profitability.
Through this course, 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.
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.
Who is this course for?
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
Discounts and offers
If you are booking as a group or institution, please contact us before you book as you may be able to benefit from our 15% group or corporate discounts.
We also offer a 20% discount to our undergraduate and postgraduate students, alumni and colleagues.
Course structure
The short course consists of five full days and its content is as follows:
Day 1:
- introduction to concepts of Business Intelligences & Big Data Analytics
- overview of SAS cloud-version and SAS coding
- a case study from practice
Day 2:
- predictive modelling and descriptive analysis
- linear regression for linear predictive modelling
- applications of linear regression in SAS
Day 3:
- logistic regression for binary predictive modelling
- applications of logistic regression in SAS
- a second case study from practice
Day 4:
- hierarchical Cluster Analysis (HCA) for clustering and classification predictive modelling
- K-means for clustering and classification predictive modelling
- applications of HCA and K-means in SAS
Day 5:
- reviewing two methods of data collection using Python: web scraping and API
- text mining algorithms: sentiment analysis & topic modelling
Our tutors
Accreditation
Our Data Analytics and Business Intelligence short course is accredited by SAS® Institute.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries.
Used under permission of SAS Institute Inc. All rights reserved.
Booking
Thank you for your interest in this course. New dates will be announced shortly - fill in our enquiry form to be the first to know when bookings reopen. If you have questions about the course in the meantime, please contact us.
Executive Summer School option:
A version of this course including additional networking and in-person opportunities is available as part of our Executive Summer School.
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