Data Analyst

Build a strong foundation in data by exploring the different types, structures and qualities that underpin effective analysis. Discover how data fuels powerful projects and gain clarity on the analytics roadmap, equipping you with the knowledge to navigate from raw data through to meaningful insights.

Learn how data is stored, managed and accessed within organisations. Develop practical skills in working with databases, including SQL for aggregation, and understand the principles of effective database design. Explore how combining datasets and applying good governance ensures data is both reliable and impactful.

Turn complex data into clear, actionable insights through visualisation and business intelligence tools. Gain experience in building dashboards, applying user experience principles, and using descriptive statistics and data mining. Deepen your understanding of statistical concepts such as samples, populations and analysis, before applying them to a BI project. Ethical considerations in data use are also embedded throughout. 

Step into the world of machine learning and data science with hands-on practice. Work with Python’s Pandas library to clean, explore and prepare datasets, while also discovering low-code tools that accelerate workflows. By the end, you’ll understand the fundamentals of modern data science and how these approaches are applied in practice.

Develop the technical skills needed to build and implement advanced analytics models. Explore regression techniques, clustering methods and time series forecasting, applying each in Python and understanding their use in real industry contexts. These tools will help you move beyond descriptive insights and towards predictive and prescriptive analysis.

Translate data skills into successful project delivery. Learn how to build a business case, capture stakeholder requirements, and plan effectively, while also navigating data legislation, policies and architecture. Alongside technical planning, strengthen communication and presentation skills so you can confidently share findings and influence decision-making.

Expand your perspective to the broader data ecosystem. Explore critical topics such as security, privacy, cloud infrastructure and open-source tools. Engage with modern data architectures, pipelines and big data technologies like Hadoop and Spark, while also gaining exposure to Linux and APIs. The unit concludes by highlighting strategies for staying at the forefront of a rapidly evolving field.

18 Masterclasses delivered across a 12-month period by academics and industry experts from Imperial Executive Education. Each Masterclass offers advanced insights and gives delegates the opportunity to engage with the speaker via a Q&A. Designed to spark new thinking and create measurable business impact.