Course Finder - Data Science Connects

Build your skills with our full range of data science courses. Learn core techniques in data analysis, machine learning, modelling, and visualisation. Designed for all experience levels, our training helps you draw insights and support smarter decisions.

Quantitative / Analytical

Responsible AI: A Holistic Approach Masterclass

This hands-on masterclass equips data scientists, analysts, and project managers with the skills and frameworks needed to deploy trusted and ethical AI. Covering everything from AI assurance and governance to generative AI

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Responsible AI: Bias Mitigation Masterclass

This specialist masterclass focuses on detecting and mitigating bias in AI systems, with a strong emphasis on fairness, legal compliance, and sub-population harm

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Statistical Methods: Multivariate Models

Gain hands-on experience in applying multivariate statistical techniques to extract deeper insights from your data analysis.

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The Science of Data Visualisation: The Science Behind Creating Impactful Visualisations

Understand the science behind data visualisation and apply it effectively to enhance analytical outcomes.

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Optimisation and (Meta-) Heuristics: maximising what matters while satisfying constraints

A practical introduction to essential methodologies, including linear programming and optimisation techniques.

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Data Science Using R

Enhance your ability to process large datasets efficiently, generating rapid and insightful results with R programming.

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Business Forecasting in R

Develop expertise in business forecasting by combining theoretical foundations with practical applications in R.

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Data Science and Generative AI: Developing data science products with generative AI

Discover key design principles for effectively presenting data and insights in a clear and engaging manner.

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Data Science and Generative AI: Tools and techniques for data science projects

Discover key design principles for effectively presenting data and insights in a clear and engaging manner.

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Data Architecture and Engineering for Data Scientists

Discover key design principles for effectively presenting data and insights in a clear and engaging manner.

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Growing a Data Science Capability

Discover key design principles for effectively presenting data and insights in a clear and engaging manner.

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Time Series Forecasting in R

Learn the fundamentals of time series data analysis and modelling, applying best practices in forecasting with R.

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The Art of Data Visualisation: Applying Design Principles for Compelling Presentations

Discover key design principles for effectively presenting data and insights in a clear and engaging manner.

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Descriptive Statistics, Sampling & Regression

Apply statistical techniques, including sampling and regression analysis, to real-world case studies for data-driven decision-making.

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The Bigger Picture

System Dynamics: Theory and Practice

Develop practical skills in qualitative and quantitative System Dynamics methods for complex problem-solving.

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