Skill Details

View Skill (Open Access)

Skill Details

Skill Name

Skill Category

Is Accredited

NoYes

Is Apprenticeship

NoYes

Skill Overview

How Ginger Nut Deliver

Our training delivery is based on a blended model of one-to-one sessions 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 benefitting from the training and completing the course.

Learners have approximately 72 hours of tutor led training over the duration of the apprenticeship. In addition, we ensure to support our learners through the tailored LinkedIn Learning Course: Data Technician Pathway. This leaves approximately 6 hours per week of additional learner tasks, assignments, research and other learning activities.

This includes the skills, knowledge and behaviours to enable them to fulfil the following duties

Source data
Collate and format data
Presenting data
Blending data
Analysing data using statistical methods
Validating results
Communicating results verbally, through reports and technical documentation and tailoring the message for the audience
Storing, managing, and sharing data securely
Collaborating with people both internally and externally at all levels with a view to creating value from data
Practising continuous self-learning to keep up to date with technological developments to enhance relevant skills and take responsibility for own professional development
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 which will underpin a professional Discussion with an End Point Assessor 
A demonstration of data analysis skills based on a given scenario provided by the End Point Assessment Organisation with questioning

Learning Objectives

Appropriate Learner Roles/Activities

The course teaches learners to source, format and display data, and analyse structured and unstructured data. Learners will  learn to blend data sources and will understand the legal and ethical principles involved in using data.

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

 Access ready-made reports, spreadsheets, databases, surveys, and other data sources as part of their role
Assist in bringing together data from different sources using Excel/Google sheets or a similar tool
Assist in preparing data for analysis
Have opportunities to work on ad hoc data requests and/or projects
Communicate data using different formats and communication methods to a range of stakeholders

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)

Last Application Date

Skill Enrolment

Skill Status

Skill Enquiry Details

First Name

Last Name

Telephone

Postcode

Are you a company owner or senior decision maker?

NoYes

No. of Delegates

What is your company name?

Would you like to explore skills support for your organisation through GM Business Growth Hub?

NoYes

I accept the Terms and Conditions and Privacy Policy

NoYes

Skill