Data Analyst - Level 4 Higher Apprenticeship (From 01/08/2024)

Entry Requirements

Data analysts will typically work across multiple projects to collect, organise, cleanse and study data. They provide your senior stakeholders and management with insights that support better decision making, enabling your organisation to respond faster to market trends. With the proliferation of real-time data, your analysts can better understand trends which have an effect on your business. In addition, this can help your organisation to predict demand, costs and revenue, while identifying risks and opportunities.

English and Maths

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.

Learning and Teaching Methods

Apprentices will gain expertise in the following areas:

• Data Analysis Tools: Proficiency in industry-standard software, such as Excel, SQL, and R or Python
• Data Management: Understanding of data architecture, data quality, and data protection principles
• Data Visualisation: Ability to create clear and compelling visual representations of data to inform decision-making
• Statistical Techniques: Familiarity with descriptive and inferential statistics, hypothesis testing, and predictive modelling
• Domain Knowledge: Acquiring sector-specific knowledge to contextualise and interpret data effectively
• Problem Solving: Developing analytical and critical thinking skills to address complex business challenges
• Communication: Strong written and verbal communication skills to present data insights to non-technical stakeholders

This online course offers flexible learning, with monthly sessions covering essential data analysis skills. Interactive virtual classes, led by industry experts, promote engagement and collaboration. A blend of live sessions, self-paced activities, and practical assignments ensures a comprehensive learning experience, catering to diverse learning styles and busy schedules.

Expert Tutors

All staff involved in the delivery of adult education courses within the College are approved to teach the subjects and modules they deliver. The approval process ensures that staff delivering a given programme are appropriately qualified and, where appropriate, possess relevant technical and industrial experience and professional practice.

Assessment Methods

Assessment in this course involves both formative and summative components. As you progress through the modules, formative assessments will measure your understanding, while you also compile a oprtfolio based on delivered content.

Upon completion, you'll enter the End-Point Assessment (EPA) phase with BCS. Assessment Method 1, Component 1 focuses on a Data Analysis Project, while Assessment Method 2 consists of a Professional Discussion supported by your portfolio, ensuring a comprehensive evaluation.

For more information read our End-point assessment plan.

Other Costs and Equipment Needed

This programme costs £15,000 - all covered through the Apprenticeship Levy. Even if employers don't pay into the Levy, they will only pay 5% of the full price, with the remaining 95% being paid for by the Government.

Career Options and Progression

The Data Analyst Apprenticeship equips learners with the skills and knowledge to excel in a variety of data-driven roles. Some potential career options and progression paths include:

• Data Analyst: Analyse, interpret and visualise data to inform decision-making, identify trends, and solve business problems
• Business Intelligence Analyst: Transform raw data in actionable insights, helping organisations improve performance and achieve their strategic goals
• Data Scientist: Apply advanced statistical techniques and machine learning algorithms to uncover patterns, make predictions and drive data-based innovations
• Progress within the current organisation: Graduates can leverage their newly-acquired skills to advance in their existing roles, take on increased responsibilities, or transition to data-focused positions within their organisation
• Explore new opportunities: Armed with relevant skills and experience, learners can seek new challenges and roles in other organisations, sectors, or industries
• Further education and certifications: Graduates may choose to pursue higher education or additional qualifications, such as a master's degree in data analytics, a professional certification in data science, or specialised training in big data, machine learning, or artificial intelligence

Overall, the Data Analyst Apprenticeship lays a solid foundation for a successful career in the rapidly evolving world of data, providing learners with ample opportunities for growth and development.