Skill Details

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Skill Details

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Is Accredited

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Is Apprenticeship

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Skill Overview

This Level 4 Data Analyst Apprenticeship is for employees who already work in a data occupation and want to develop their knowledge and skill to a higher more advanced technical level.

Learning Objectives

Machine learning and Artificial Intelligence (A.I.)
Advanced data visualisation and storytelling techniques (Power BI or Tableau)
Data types, structure, and database design
Programming languages (Python or R and SQL)
Data manipulation with pandas
Working with arrays using NumPy
Customer requirements and user experience (UX)
Security, ethics, and legislation (including GDPR)
Statistical principles and methodologies
Interpreting and collating qualitative and quantitative data
Advanced data analytics tools and techniques
Prescriptive and predictive analytics
Data mining, modelling, and forecasting
Orange 3, regression models and time series analysis
Learners can also incorporate complimentary certifications (if they wish).

Examples include:

Power BI Data Analyst Associate
Data Analyst Associate
Data Analyst Professional
Data Scientist Associate
Data Scientist Professional

Funding Option

Funding Eligibility

For apprentices aged 16-21 the training costs are fully funded by the government. For apprentices aged over 21, there is a 5% co-investment which would be paid by the employer. Alternatively, the training costs can be covered by utilising the Apprenticeship Levy Fund.

Skill Price ex VAT (£)

Skill Length

Skill Level

Skill Timings

Delivery Method

Skill Eligibility (Prerequisites for skill/software requirements)

To do an apprenticeship in data, you must be working in a data role. This means learners should already be using data to solve business related problems.

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