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Work Based Learning

Data Analyst Apprenticeship

Mode of study

Part Time

Entry requirements

GCSE Maths grade 9 - 4 and GCSE English grade 9 - 4. You should be employed, or have an employer willing to sponsor you. Applications are assessed on a case by case basis. Previous qualifications or experience in IT.

Teaching staff

You will be taught by a team of expert Tutors and Work Based Assessors.

Course Code

AP4DAA1P/1

Duration

2-Year

Location

Work-Based

Awarding body

Generic award - no awarding body

Assessment

You will sit various assessments throughout the course.

About the course

The broad purpose of the occupation is to ascertain how data can be used in order to answer questions and solve problems. Data analysis is a process of requirement-gathering, inspecting, cleansing, transforming and modelling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names. In today's world, data analysis plays a crucial role in making decisions more evidence-based and helping organisations operate more effectively.

Career options

Full-time employment. Upon completion, you can also progress to a higher level apprenticeship or qualification.

Career progression is excellent for apprentices, and over the course of their careers, those with an Apprenticeship earn on average, £100,000 more than those without. (A Cost-Benefit Analysis of Apprenticeships and Other Vocational Qualifications, University of Sheffield, 2007)

Course Content - What will I learn?

The data analyst will be responsible for working within the data architecture of the company and ensuring that the data is handled in a compliant, safe and appropriately secure manner, understanding and adhering to company data policy and legislation. Data analysis is a fast-moving and changing environment, and data analysts need to continue to stay abreast of, and engaged with, changes and trends in the wider industry; including data languages, tools and software, and lessons learnt elsewhere.

Please contact us to find out if you require any specific equipment for this particular course.

You will sit various assessments throughout the course.