Description 

This qualification is designed to give learners the knowledge and associated skills and behaviours required to work in a variety of roles in data analysis. It will also prepare learners to progress to further study and apprenticeships in this area.

This qualification is designed for learners who want to upskill or retrain within the digital sector. It is also suitable for learners who want to further their studies in the digital sector. This higher technical qualification (HTQ) will give learners the skills, knowledge and behaviours to meet specific employer needs and industry requirements.

Course Modules and Learning Outcomes

This qualification includes

• Data Analysis Concepts

  • 1.1 Data and Information
  • 1.2 Data Sources
  • 1.3 Data Classification
  • 1.4 Data Quality
  • 1.5 Data Preparation
  • 1.6 Data Modelling
  • 1.7 Data Analysis Techniques
  • 1.8 Data Presentation and Reporting

• Data Structures

  • 2.1 Types of Data Structures
  • 2.2 Data Storage and Retrieval
  • 2.3 Data Processing
  • 2.4 Unstructured Data Formats
  • 2.5 Integrating Structured and Unstructured Data

• The Principles of Data Analysis

  • 3.1 Business Context Understanding
  • 3.2 Data Analysis Approaches
  • 3.3 Data Protection Compliance
  • 3.4 Data Analysis Tools and Techniques
  • 3.5 Data Visualisation
  • 3.6 Requirements Elicitation
  • 3.7 Data Modelling in Requirements Gathering

• Data Analysis Tools and Techniques

  • 4.1 Data Integration
  • 4.2 Statistical Programming Languages
  • 4.3 Data Quality Considerations
  • 4.4 Handling Large Data Volumes
  • 4.5 Testing Unified Data Sets
  • 4.6 Capabilities of Statistical Tools
  • 4.7 Preparing Data for Analysis

• Compliance and Audit Considerations

  • 5.1 Data Protection and Privacy Issues
  • 5.2 Legal and Regulatory Compliance
  • 5.3 Organisational Policies and Procedures

Who Is This Qualification For?

• Aspiring data analysts looking to build a strong foundation in data analysis techniques and tools.
• Professionals seeking to enhance their skills and advance into specialized roles within the field of data analysis.
• Individuals aiming to formalize their knowledge and gain a recognized qualification to boost career progression opportunities.
• Learners who wish to pursue further studies in the area of data analysis and related disciplines.

Career Progression

• After completing this qualification, you can pursue roles such as:
  • Junior analyst
  • Data analyst
  • Departmental data analyst
  • Energy data analyst
  • Marketing data analyst
  • Problem analyst
• Further Study:
  • Progress to Level 6 qualifications  Childhood Studies or related degrees.

Study and Assessment Methods

• Study Format:
  • Flexible learning options, including online or classroom-based sessions.
  • Access to learning resources, case studies, and practical tasks.
• Assessment:

Portfolio of evidence, workplace observations, and written assignments.