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Learn by doing with our technical training. You’ll put theory into practice with hands-on activities and expert demonstrations in eight 2-day SMART Classroom sessions.
Unlike traditional education, our apprenticeship training doesn’t simply teach for the test. Our exam-free programme and project-led approach gives you the skills you need to thrive in your career.
This course focuses on the core concepts and principles of data analysis. You’ll build on your 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 you how 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. You will explore different types of analysis and how Python can be effectively deployed within your 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.
As a Data Analyst, you can make valuable contributions to almost any department, any business, and any sector.
Wherever business data is generated, there is the potential for a data analyst to extract meaning, investigate trends, and provide evidence to support strategic decisions.
Data Analysts may work as part of a larger data team, or they could be based within a specific department, such as marketing, HR, finance, or sales.
At this level, a Data Analyst is typically responsible for gathering, modelling, and transforming data from multiple sources – generating insight, communicating results, and ensuring that data is handled with ethical and security principles in mind.
Data professionals are some of the highest paid people in business today, with an in-demand skillset that can be applied almost anywhere.
