I am both excited and honoured at the opportunity to be part of the first cohort for the BCS F-TAG (Fellows Technical Advisory Group). Looking forward to participating and helping to lead bringing my experience and knowledge as part of this group.
Aim of the F-TAG
BCS’ Fellows Technical Advisory Group (F-TAG) is a diverse selection of experts who will distil insights on cutting edge technologies to benefit the entire BCS membership, the wider industry and ‘UK plc’; F-TAG complements the work of existing boards and groups. Source.
F-TAG is made up of 25 BCS Fellows selected from diverse demographic and professional backgrounds; their expertise ranges from software testing to smart homes. Source.
The last exam that I took was in an examination centre where you turn up and sit at an already configured computer. This time I sat the exam at home in my dining room with camera and microphones on. Special software ensuring that my only windows open are the exam and meeting room with the invigilator watching me.
Sitting down getting ready for the exam, I hit that unfortunate moment of your laptop is about to reboot and install an operating system upgrade. Great timing! Just enough time to get another device loaded with the right software and logins to the required pages. Not a good start to entering an exam for the mindset, but all went well in the end.
Study for this stage of the Data Fellowship has been part of the apprenticeship course and objectives. For me it was a cementing of the concepts and bringing some areas up to date.
Objectives are: Demonstrate knowledge and understanding of Data Analysis and its underlying architecture, principles, and techniques. Key areas are:
Explore the different types of data, including open and public data, administrative data, and research data
Understand the data lifecycle
Illustrate the differences between structured and unstructured data
Understand the importance of clearly defining customer requirements for data analysis
Understand the quality issues that can arise with data and how to avoid and/or resolve these
Explore the steps involved in carrying out routine data analysis tasks
Understand the range of data protection and legal issues
Explore the fundamentals of data structures
Explore the database system design, implementation, and maintenance
Understands the organisation’s data architecture
Understands the importance of the domain context for data analytics