Data Analyst

Data Analyst
Level 4 Apprenticeship Programme Summary
Data informs every business decision in the digital age and analysts who can explore, interpret and present this data
are in high demand. The aim of this level 4 programme is to provide the skills and knowledge required to begin a
career in IT as a Data Analyst. The duration of this apprenticeship programme is typically 18 months delivered in a
blend of online/offline methods whilst staying within the workplace. This apprenticeship is also recognised for entry
onto the Register of IT Technicians upon completion.

Study modules
NB: Please note all of the following modules have multiple choice Vendor or Awarding Body exam based
assessments.
The apprenticeship contains the following two key modules which seek to develop the knowledge and
competency required of high-quality data analysts.

BCS Level 4 Certificate in Data Analysis Tools
This first module covers the range of concepts, approaches, tools and techniques that are applicable to Data
Analysts. Key areas include data processing and tools, statistical computing, data quality techniques, big data,
testing techniques and presenting results.
Key
Topics
• Explain the purpose and outputs of data integration activities
• Explain how data from multiple sources can be integrated
• Describe how programming languages for statistical computing
(SQL) can be applied to data integration activities
• Explain how to take account of data quality when preparing data
for analysis, improving quality, accuracy and usefulness
• Explain the nature and challenges of data volumes being
processed through integration activities and how a programming
approach can improve this
• Understand testing requirements to ensure that unified data sets
are correct, complete and up to date
• Explain the capabilities (speed, cost, function) of statistical
programming languages and software tools
• Explain how statistical programming languages are used in
preparing data for analysis and within analysis projects
BCS Level 4 Diploma in Data Analysis Concepts
This second module involves a deep dive into the key concepts involved in data analysis. These key concepts
include types of data, the data lifecycle, structured and unstructured data, data requirements, quality, compliance
and audits, databases, data architecture and domain context.
Key
Topics
• Explore the different types of data, including open and public
data, administrative data, and research data
• Understand the data lifecycle
• Illustrate the differences between structured and unstructured data
• Understand the importance of clearly defining customer
requirements for data analysis
• Understand the quality issues that can arise with data
• Explore the steps involved in carrying out routine data analysis tasks
• Understand the range of data protection and legal issues
• Explore the fundamentals of data structures
• Explore database system design, implementation and maintenance
• Understand the importance of the domain context for data
analytics