Cambridge Advanced National in IT: Data Analytics
Why study CAMBRIDGE ADVANCED NATIONAL IN IT: DATA ANALYTICS
Cambridge Advanced National in IT: Data Analytics will develop knowledge, understanding and skills that will help prepare you for progression to undergraduate study and are relevant to the information technology sector. You might be interested in this qualification if you want a qualification that builds applied or practical skills, to take alongside and enhance your A Levels. You might be interested in this qualification if you want to apply what you learn to practical, real-life contexts, such as:
• Planning, developing and reviewing spreadsheet data models that meet the needs of a client.
• Planning, developing and reviewing relation databases that meet the needs of a client.
• Planning, communicating and reviewing Internet of Everything (IoE) solutions that meet the needs of a client.
• Planning, developing and reviewing data visualisation solutions using data dashboards that meet the needs of a client.
• Planning, developing and reviewing digital marketing campaigns that meet the needs of a client.
The qualification will also help you develop independence and confidence in using skills that are relevant to the sector and that prepare you for progressing to university courses where independent study skills are needed. You will develop the following transferable skills that can be used in both higher education and other life and work situations:
• Developing communication skills through having to communicate ideas in different ways to different stakeholders, much as you might be expected to in equivalent real-life situations.
• Developing creativity through opportunities for planning creative solutions that meet the needs of different clients or end-users in NEA units.
• Developing skills of project-based working in the NEA units. You are required to complete individual tasks that combine to form a larger project. Managing different aspects of a project effectively to ensure the success of the whole project is something you will likely encounter should you go on to work in similar projects in higher education or work situations.
• Developing skills of time management. Time management is an important aspect of completing projects successfully. You will need to manage your time effectively in the NEA units to ensure the needs of a client are met.
• Developing skills of reflective learning by reflecting on the choices you have made in the NEA units and considering how you may approach similar tasks differently in future.
• Developing presentation skills through presenting your ideas to people in different ways.
Course Content
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F200: Fundamentals of data analytics F201: Big data and machine learning F202: Spreadsheet data modelling |
Optional Modules F203: Relational database design F204: Data and the Internet of Everything (IoE) F205: Data visualisation F206: Data and digital marketing |
Topics covered will include:
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Understanding different types of data and their sources Techniques for managing and processing data Methods for accessing and managing data across platforms Legal considerations when handling data Job roles, required skills, and attributes in data analytics careers |
The scope and characteristics of big data Infrastructure challenges associated with managing big data The role of machine learning and artificial intelligence in data science Legal and ethical considerations in big data management The impact of big data on the environment and society |
The scope and characteristics of big data Infrastructure challenges associated with managing big data The role of machine learning and artificial intelligence in data science Legal and ethical considerations in big data management The impact of big data on the environment and society |
What other subjects go well with this subject?
Business, Maths, Psychology, Computing, Geography
Career Pathway
Both the subject-specific knowledge, understanding and skills, and broader transferable skills developed through these units, will help you progress to further study in related areas such as:
• Business Analytics
• Information Technology
• Digital Marketing
Exam Board
OCR
Entry Requirements
Five Grade 5 (including Maths and English)
