OUR EMPLOYERS
This Level 4 Data Analyst apprenticeship delivers advanced data skills to power a better business.
Our advanced curriculum encapsulates everything a Data Analyst needs to succeed, including hands-on training in data modelling, predictive analytics, effective use of SQL and Python, and the legal frameworks for ethical data processing.
Throughout the programme, learners are empowered to work independently, implement best practice and work strategically with data to generate accurate, actionable insights.
Our technical training is delivered remotely in our real-time SMART Classroom environment, and learners are supported throughout their journey by their dedicated Data Coach.
For more information about this programme, browse our summary below, or download your detailed programme guide.
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Our technical training courses are centred around practical activities where apprentices can learn by doing as part of a small cohort. Each course is broken down into 2x 2-day training sessions. In each session, participants will build knowledge, develop skills, and uncover advanced data insights, led by an expert coach.
This course focuses on the core concepts and principles of data analysis. Participants will build on foundational knowledge through an advanced exploration of the data lifecycle, data architecture, and current data regulations.
SQL is the standard language for relational database systems and is a cornerstone of professional data analysis. This course has a practical focus and will teach participants to create data structures and apply data modelling techniques with SQL.
This course will develop knowledge and skills in the use of Python, one of the most widely used languages for data analysis. Learners will explore different types of analysis and how Python can be effectively deployed within data workflows.
The ability to effectively communicate data insight, patterns and trends is just as important as any analysis task. The course explores tools and techniques for data visualisation and reporting, including Excel and PowerBI.
OUR EMPLOYERS
