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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
We are now offering a 20% discount on our Data Analytics and Business Intelligence course fee to University of Westminster alumni.
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
Dr Farjam Eshraghian is a senior lecturer at Westminster Business School (WBS). Upon joining WBS in 2017, he developed the Big Data Analytics and Business Intelligence module for postgraduate Digital Business course. Since then, he has been engaged in teaching data analytics to our postgraduate students. He also supervised a large number of dissertations focusing on Data Analytics and BI. He obtained his PhD from the University of Edinburgh and his research was focused on on understanding of the dynamics of forming information quality frames by organisational users. These socio-cognitive frames are being formed by these users to perceive the quality of information in the organisational context. Due to his experience of teaching analytics on SAS platforms, SAS, the vendor of leading analytics and data management platforms invited him to deliver a talk on the resources of these platforms for academics, researchers and students in its SAS Viya Webinar Series.
Booking
If you have any questions about the course, please get in touch with us via [email protected].
This course is also available as part of our Executive Summer School:
Start date
Course name
Day and time
Duration
Price
8
Jul
2024
Jul
2024
Part
Data Analytics and Business Intelligence
Day and time
Monday-Thursday 9.30am-5pm, Friday 9.30am-4pm
Duration
5 days
Price
£1695
Find out more on our Executive Summer School page