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Data analyst working on business analytics dashboard with charts, metrics and KPI to analyze performance and create insight reports for operations management.
Data analyst working on business analytics dashboard with charts, metrics and KPI to analyze performance and create insight reports for operations management.

IT: Data Analytics AAQ

IT: Data Analytics AAQ

Course Code: ASMDAT

Level: 3

Study mode: Full time

Duration: 2 years

Course Code: ASMDAT

Level: 3

Study mode: Full time

Duration: 2 years

Every decision made by Netflix, the NHS, Amazon, and your local council is driven by data. This course teaches you how to work with it.
IT: Data Analytics is a Level 3 qualification designed for students who want to understand one of the most in-demand skill sets in the modern economy. You will learn how to collect, analyse, interpret, and present data to solve real problems across a range of industries.
You will develop practical, hands-on skills in spreadsheet modelling, relational databases, data visualisation, big data, and machine learning, all within realistic business and industry contexts. No prior IT qualification is required. Just bring curiosity, a logical mind, and a willingness to engage with the digital world around you.
The course is built around two examined units and a series of practical assignments.
Examined Units
· Fundamentals of Data Analytics: understanding how data works, how it is managed, and the legal and ethical responsibilities around it
· Big Data and Machine Learning: exploring how organisations harness massive datasets and emerging AI technologies
Practical Assignments
· Spreadsheet Data Modelling: designing and building real data solutions in Excel
· Relational Database Design: structuring and querying data effectively
· Data Visualisation: communicating data insights clearly and compellingly
2 GCSEs at Grade 6 or above and 3 GCSEs at Grade 5 or above, including Grade 5 in both English Language and Mathematics.
An interest in technology, data, problem-solving, and digital innovation will help you make the most of the course.
40% external examinations (two written papers)
60% internally assessed practical assignments, moderated by Cambridge OCR
University courses: Data Science, Computer Science, Business Analytics, Information Systems, Digital Marketing, Psychology, Economics
Careers: Data Analyst, Business Intelligence Analyst, Database Administrator, Data Engineer, Digital Marketing Executive, Machine Learning Technician
Works well alongside: Computer Science, Mathematics, Business Studies, Geography, Psychology, Economics
Data literacy is now one of the most valued skills across every sector. Whether you want to work in sport, healthcare, business, or technology, this course gives you a head start.

Course Code: ASMDAT

Level: 3

Study mode: Full time

Duration: 2 years

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