Course Details

This course is an apprenticeship for the primary role of a data analyst. Data analysts are typically involved with managing, cleansing, abstracting and aggregating data, and conducting a range of analytical studies on that data. They work across a variety of projects, providing technical data solutions to a range of stakeholders/customers issues. They document and report the results of data analysis activities making recommendations to improve business performance. They have a good understanding of data structures, database systems and procedures and the range of analytical tools used to undertake a range of different types of analyses.

Entry Requirements

Individual employers will set the selection criteria, but this is likely to include A’ Levels, level 3 apprenticeship or other relevant qualification relevant experience and/or an aptitude test with a focus on functional maths.

Career options

Data Analyst, Data Manager, Data Scientist, Data Modeller, Data Architect, Data Engineer

Data Analyst Level 4 Apprenticeship

Five highlights

  • 1 Progression and preparation for ongoing full time employment
  • 2 Progression and preparation for a full tme degree
  • 3 Industry linked and experienced lecturers
  • 4 Industry standard and leading facilities
  • 5 Work based scenario projects

Key Points

  • Chichester Campus
  • Flexible start date
  • L4 data Analyst apprenticeship

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Course code Location Course length Start date
CIT645WMMA Chichester Campus 2 Years Flexible start date

What you need to know

What will I study?

identify, collect and migrate data to/from a range of internal and external systems • manipulate and link different data sets as required • interpret and apply the organisations data and information security standards, policies and procedures to data management activities • collect and compile data from different sources • perform database queries across multiple tables to extract data for analysis • perform routine statistical analyses and ad-hoc queries • use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data • assist production of performance dashboards and reports • assist with data quality checking and cleansing • apply the tools and techniques for data analysis, data visualisation and presentation • assist with the production of a range of ad-hoc and standard data analysis reports • summarise and present the results of data analysis to a range of stakeholders making recommendations • works with the organisation's data architecture

How will I be taught?

You will be taught and assessed at college on a 1 day a week basis. You will have regular assessment from a lecturer and will build a portfolio of skills at your workplace

How will I be assessed?

This course is assessed through assignments, examinations and phase tests. Level 2 English and Maths will need to be achieved, if not already, prior to taking any end point assessment

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