Apprenticeships allow individuals to gain practical skills and knowledge while working in real jobs, setting a strong foundation for their careers in the tech sector. Apprenticeships are open to school leavers or existing employees within an organisation. In order to undertake an Apprenticeship, an Apprentice must be supported by an employer.
6 to 8 hours / week
Why study Data Analysis?
This occupation is found in any employer in any sector that uses data to make business decisions. Data analysts may work in various departments within a single employer, (for example finance, sales, HR, manufacturing, or marketing), and in any employment sector, public or private, including retail, distribution, defence, banking, logistics, media, local government etc.
The broad purpose of the occupation is to ascertain how data can be used in order to answer questions and solve problems.
You will develop your Knowledge, skills and behaviours in order to carry out the duties of the occupation.
The key activities that Data Analyst graduates perform include:
Collect, organise and interpret statistical information to help businesses make important decisions.
Enhance your employability
Linked in Profile review alumni access, networking, and interview opportunities. Development of wider skills via our monthly Newsletter and events. We will provide pastoral support to ensure you are developing all the relevant behaviours such as communication, problem solving, emotional intelligence and growth mindset.
The ideal candidate will be selected by the employer based on their pre-requisites and screening process.
Apprentices without level 2 English and maths will need to achieve this level prior to taking the End-Point Assessment. For those with an education, health and care plan or a legacy statement, the apprenticeship’s English and maths minimum requirement is Entry Level 3. A British Sign Language (BSL) qualification is an alternative to the English qualification for those whose primary language is BSL.
The tools a student needs are as followed:
A working laptop running Windows 10 or more, MacOS or any major distribution of Linux.
A working microphone and video camera.
A stable internet connection.
Chromebooks, tablets and phones are not conducive to undertaking the sessions.
You will learn and apply the following:
Current relevant legislation and its application to the safe use of data.
Organisational data and information security standards, policies and procedures relevant to data management activities.
Principles of the data life cycle and the steps involved in carrying out routine data analysis tasks.
Principles of data, including open and public data, administrative data, and research data.
Differences between structured and unstructured data.
The fundamentals of data structures, database system design, implementation and maintenance .
Principles of user experience and domain context for data analytics.
Quality risks inherent in data and how to mitigate or resolve these.
Principal approaches to defining customer requirements for data analysis.
Approaches to combining data from different sources.
Approaches to organisational tools and methods for data analysis.
Organisational data architecture.
Principles of statistics for analysing datasets.
The principles of descriptive, predictive and prescriptive analytics.
The ethical aspects associated with the use and collation of data.
Apprenticeships are funded based on employer Wage Bills. There are two types of employers and funding is based on the employer category you fall under:
A Levy employer with a pay bill of more than £3 million is required to pay the Apprenticeship Levy. Funds can be managed using the Apprenticeship service and spent towards training and assessing Apprentices. The government will apply a 10% top-up to the funds you have in your account.
Maximum funding from the government is capped at £15,000 for the Data Analyst Level 4 Apprenticeship.