Module Guides
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Every module below is extracted from the Master's in Data Science Pre-Course Guide. Each one costs €5.99, or take all 12 in the Full Guide for €19.99.
Introduction to Data Science
What data science actually is, how it creates value, and where it fits in an organisation and a career.
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36 pages
Mathematics & Statistics Foundations
Probability, statistics, linear algebra and calculus, taught for intuition rather than proof.
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70 pages
Programming for Data Science
Python from first principles, through to the NumPy/Pandas toolkit every data scientist uses daily.
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58 pages
Working with Data
Collecting, storing, querying, cleaning and preparing data before any analysis can begin.
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50 pages
Data Visualisation
Turning numbers into charts, dashboards and stories that other people can actually act on.
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46 pages
Machine Learning
How machines learn patterns from data, and the vocabulary you need before your first ML lecture.
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66 pages
Artificial Intelligence & Deep Learning
Neural networks, computer vision, NLP, and the generative AI reshaping the field in real time.
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58 pages
Big Data & Data Engineering
The infrastructure — pipelines, warehouses, lakes, cloud, and MLOps — that real data science runs on.
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60 pages
Business Analytics
Turning data into decisions: KPIs, experimentation, forecasting and domain-specific analytics.
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52 pages
Research Methods
The academic skills — design, writing, reproducibility, ethics — a Master's assumes you already have.
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48 pages
Data Science Projects
Running a project end to end, and building the portfolio that gets you hired.
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62 pages
Succeeding in Your Master's
The practical skills that carry you through the degree itself, not just the subject matter.
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42 pages
Better value: the complete book
All 12 modules, plus case studies, glossary, diagrams and exercises —697 pages for €19.99.
Buy Full Guide