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Skill Overview

How Ginger Nut Deliver

Our training delivery is based on a blended model of one-to-one sessions, at least every 4 weeks, with group sessions, webinars, online courses, video, and additional support as required. This means that our learners have the guidance they need as well as the flexibility to learn around the requirements of their jobs. We find that this approach reduces disruption for the learners and their line managers giving everyone the best chance of benefiting from the training and completing the course.

To support learning, all learners are given access to LinkedIn Learning, including bespoke channels designed to support their apprenticeship and Perlego, which includes full searchable access to hundreds of thousands of textbooks to support study.

Alongside the standard we deliver the training for the British Computer Society Level 4 Module in Data Analysis and British Computer Society Level 4 Diploma in Data Analysis Concepts to support the learners’ knowledge but these are not certified unless the employer pays for the cost of the examination.

The delivery is structured around mandatory, tutor led, training sessions. These sessions cover:

Structured Query Language – introduction, intermediate and advanced
Python – introduction, data visualisation and exploration, statistics and Python vs R
Advanced data analytics methods:
Machine learning and Kmeans
Association rules
Regression
Decision trees
Regression
Time Series
Text analysis
Big data technology and tools
Internet of Things and analytics
Alongside this we include the Structured Query Language for Developers and Analysts with Microsoft Structured Query Language Server course which includes 3.5 hours of additional video learning alongside online workbooks and takes approximately 20 hours to complete.

Project Activity and Portfolio Building
Evidence collected covers knowledge, skills and behaviours and helps the learner build the experience and portfolios they need to successfully complete their apprenticeship.

Gateway and End Point Assessment
We give learners mock synoptic projects and interviews to ensure they are ready for the End Point Assessment and know precisely what to expect at all points in the process. The End Point Assessment itself includes:

Portfolio –Produced towards the end of the apprenticeship, containing evidence from real work projects 
Project – A business-related project over a one-week period away from the day-to-day workplace
Employer reference
A structured interview with an assessor – exploring the portfolio and the project

Learning Objectives

Appropriate Learner Roles/Activities

In order to be able to complete the apprenticeship, learners must be given the opportunity to do the following:

Have access to a database as part of their role
Independently create reports from a database
Independently run, monitor routine/scheduled reports
Have opportunities to work on ad hoc data analysis requests and/or projects
Communicate the results of their analysis in different formats and through different channels ways to a range of stakeholders
Have opportunities to try out new data analysis methods and tools

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.

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