Start by building a solid understanding of data analysis principles. This level covers the fundamental concepts, tools, and processes needed to make sense of data in a structured way. You will gain hands-on experience through practical projects, learning how to organise, analyse, and visualise data effectively using Excel, Tableau, Power BI, and SQL.
By the end of this stage, you’ll have a solid foundation to start working with data confidently.
Advance your data analytics skills by exploring foundational mathematics and applying your knowledge to practical, real-world scenarios. At this stage, you will learn to use Python for more complex data analysis tasks, combining statistical techniques with programming to derive insights and inform decisions.
At this final stage, you will integrate all your data analysis skills to tackle advanced concepts. Delve into topics like data ethics, big data processing, machine learning, and AI. You will also work on a comprehensive capstone project, applying your skills to develop a professional-grade data analysis solution, preparing you to handle complex data-driven tasks in a professional setting.
You’ve built the skills, completed the projects, and earned your qualifications. Now, it’s time to put it all to work.
Our recruitment team is with you every step of the way, refining your CV, preparing you for interviews, and connecting you with exclusive job opportunities. The goal is simple, get you hired. And if you don’t land a role within the guarantee period, you get your money back.
Your training got you here. We’ll help you take the next step.
Fill your details and get contacted by a career advisor.