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.
What does the Data Analyst apprenticeship programme involve?
Knowledge Modules
To be eligible for the end point
assessment, learners need to pass all 6 of the required modules for this programme.
Portfolio
Produced across the apprenticeship, containing evidence from real work
projects, reports, witness testimonies and observations.
Project
This provides the opportunity to undertake a business-related project over a one week period away from the
day-to-day workplace.
End point assessment
Conducted by an independent assessor during the last few months of the programme.
Study Modules
Introduction to Data Analysis
– The first module introduces data analysis and statistical mathematics.
Key Topics
• The data and data analytics lifecycle
• Types of data
• Statistical mathematics
• Populations and sampling
• Statistical inference
• Linear & logistic regression
Databases
– The second module involves learning the practical understanding of databases, including design, queries, administration and maintenance.
Key Topics
• Relationships
• Normalisation
• Advanced queries
• Indexes
• Views, stored procedures and functions
• Administrating a database
Python & R
– The third module involves a deep dive into data analysis using python and R.
Key Topics
• Introduction to the python language
• Introduction to R
• Programming constructs (sequence, selection and iteration)
• Cleaning, manipulating, processing and analysis in python and R.
Big Data
– The fourth module explores big data analysis, including techniques, tools and best practices.
Key Topics
• Characteristics of big data
• Working with big data sets
• Big data analytics
• Patterns, trends and associations
Advanced Analytics
– This fifth brings together learning from the previous courses, to develop analytical skills to an advanced level.
Key Topics
• Data models
• Multi-variate analysis
• Managing a data analysis project
Operationalising Data Analysis
– This sixth focuses on operationalising data analysis and the business considerations which are required when undertaking analysis activities.
Key Topics
• Requirements elicitation
• Methods for presenting results
• Improving business decision making
• Legal and regulatory compliance
• Commercial and intellectual property
• Confidentiality, integrity and availability
Career Pathways
Case Studies
Apprentice Stories – Owen Mcintyre
Why did you choose an apprenticeship? Owen said, “I never wanted to go to university. Without a set career path, I felt it would be a waste of time deep diving into one subject when I did not know what field I wanted to work in. I also felt like attending Uni was not...
Contact
Got any questions? We'd love to hear from you! Drop us a message to enquiries@intequal.co.uk with the name of your apprenticeship programme you are interested in or give us a call for more information.