S0Semester Zero

Technology · Pre-Course Guide

Master's in Data Science

Maths, code and models — without the cold start.

Data science programmes assume mathematical comfort many students don't yet have. This guide builds it gently: notation first, intuition second, then the models — so your first machine learning lecture feels familiar instead of foreign.

Pages
697
Modules
12
Full guide
€19.99
Single module
€5.99
Buy Full Guide — €19.99Buy individual modulesRead a free sample

What's included

  • Real case studies
  • Exercises and mini quizzes
  • Frameworks and visual diagrams
  • Full glossary of terminology
  • AI study prompts
  • Recommended reading
  • Study tips and reflection questions
  • Career insights

Learning outcomes

  • 01Read mathematical notation without freezing
  • 02Understand what a model is doing, not just how to call it
  • 03Write and reason about clean, analytical Python
  • 04Know the vocabulary of the entire first semester

Modules

Buy modules individually
  1. 01

    Introduction to Data Science

    What data science actually is, how it creates value, and where it fits in an organisation and a career.

    36 pages
  2. 02

    Mathematics & Statistics Foundations

    Probability, statistics, linear algebra and calculus, taught for intuition rather than proof.

    70 pages
  3. 03

    Programming for Data Science

    Python from first principles, through to the NumPy/Pandas toolkit every data scientist uses daily.

    58 pages
  4. 04

    Working with Data

    Collecting, storing, querying, cleaning and preparing data before any analysis can begin.

    50 pages
  5. 05

    Data Visualisation

    Turning numbers into charts, dashboards and stories that other people can actually act on.

    46 pages
  6. 06

    Machine Learning

    How machines learn patterns from data, and the vocabulary you need before your first ML lecture.

    66 pages
  7. 07

    Artificial Intelligence & Deep Learning

    Neural networks, computer vision, NLP, and the generative AI reshaping the field in real time.

    58 pages
  8. 08

    Big Data & Data Engineering

    The infrastructure — pipelines, warehouses, lakes, cloud, and MLOps — that real data science runs on.

    60 pages
  9. 09

    Business Analytics

    Turning data into decisions: KPIs, experimentation, forecasting and domain-specific analytics.

    52 pages
  10. 10

    Research Methods

    The academic skills — design, writing, reproducibility, ethics — a Master's assumes you already have.

    48 pages
  11. 11

    Data Science Projects

    Running a project end to end, and building the portfolio that gets you hired.

    62 pages
  12. 12

    Succeeding in Your Master's

    The practical skills that carry you through the degree itself, not just the subject matter.

    42 pages

What's inside Semester 0?

Everything you need to feel prepared before your first lecture — explained from zero, designed for beginners, and built to give you a head start.

Complete Master's Guide

500+ pages designed to prepare you before day one.

Beginner-Friendly

Complex concepts explained in simple language.

Visual Frameworks

Diagrams, models and visual explanations that make learning easier.

Real Case Studies

Understand how theory works in real businesses.

Module Summaries

Quick recaps so revision takes minutes instead of hours.

Key Terminology

Learn the vocabulary before your lecturers use it.

Practical Examples

Every concept includes clear examples you can actually understand.

Lifetime Access

Read anytime. Keep every update forever.

Free Updates

Whenever the guide improves, your version improves too.

Built for Your Master's

Created after analysing real university programmes so you're learning what actually matters.

One small investment. Eighteen months of confidence.

Semester 0 isn't another textbook.It's everything students wish they knew before walking into their first Master's lecture.

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Reviews

"I came from humanities. This is the only reason the maths didn't break me."

Lena K.

MSc Data Science, Delft

"Reading it in English before term also fixed half my terminology worries."

Yusuf A.

International student, Istanbul → Munich

Full Guide

The complete 697-page preparation book with every module, case study and exercise.

€19.99

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Module Guide

Only need one topic? Buy any single module on its own.

€5.99

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Transparency

How our guides are created

Every Semester 0 guide is created using a combination of AI-assisted research, educational frameworks, and editorial review. We analyse recurring topics across leading Master's programmes and organise them into clear, beginner-friendly guides designed to help students prepare before their first lecture.

Our guides are independent educational resources. They are not official university materials and are not affiliated with any university.

Disclaimer: Semester 0 guides are independently created educational resources. They are designed to support students before their Master's begins and do not replace official course materials or university instruction.

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