Beginner20 hours
SQL for Data Analysis
SELECT, JOIN, window functions, and writing queries that scale.
View courseGeraLearn category
Learn Data Science Online
Learn Data Science online with GeraLearn. The Data Science category covers the full pipeline from raw data to decision support: SQL for querying production databases, Python for analysis and modelling, statistics and experimental design, machine learning, deep learning, and the engineering work needed to put a model into production. Tracks exist for analysts moving into data-science roles, software engineers picking up ML, and researchers learning to scale their work. Hands-on notebooks and real datasets feature throughout.
Featured Data Science courses
7 hand-picked courses across beginner, intermediate, and advanced levels. Pricing starts from a free tier; paid courses and the all-access subscription are shown in your local currency at checkout.
Beginner30 hours
Python for Data Analysis
pandas, NumPy, and exploratory data work.
View courseIntermediate25 hours
Statistics for Practitioners
Distributions, hypothesis testing, and confidence intervals.
View courseIntermediate40 hours
Machine Learning Foundations
Supervised and unsupervised learning with scikit-learn.
View courseAdvanced50 hours
Deep Learning with PyTorch
Neural networks, training loops, and modern architectures.
View courseBeginner15 hours
Data Visualisation with Tableau
Dashboards that communicate findings clearly.
View courseIntermediate12 hours
A/B Testing and Experimentation
Designing, running, and interpreting product experiments.
View courseWhy learn Data Science?
Almost every business now runs on instrumented digital products, which means trained data people are needed in finance, retail, healthcare, public sector, and gaming alike. Demand consistently outstrips supply across most labour markets.
Frequently asked questions
How long does it take to learn Data Science?
A working foundation in data science typically takes 40–80 hours of focused study spread over 2–3 months. Job-ready competence is usually 200–400 hours over 6–12 months. Mastery is a multi-year practice. All courses are self-paced, so the calendar time is set by how many hours per week you can commit.
What do I need to start?
A laptop or smartphone, a stable internet connection, and a free GeraLearn account. Beginner-level tracks assume no prior experience. Specialist courses list specific prerequisites in the course outline before enrolment.
Is Data Science still in demand in 2026?
Yes. Data Science skills remain in demand across the labour markets GeraLearn serves. Demand shifts inside the category as tools and methods evolve, which is why GeraLearn keeps the catalogue current and retires outdated material.
Related categories
Skills in Data Science pair well with these adjacent disciplines on GeraLearn.
Programming
The Programming category covers software development from first principles through to production engineering: writing code in modern languages, building web and mobile applications, working with version control, and shipping software that real users depend on.
Explore ProgrammingEngineering
The Engineering category covers the disciplines outside pure software: mechanical, electrical, civil, and chemical engineering foundations alongside cross-cutting skills such as CAD, finite-element analysis, control systems, and engineering project management.
Explore EngineeringFinance
The Finance category covers personal finance, professional finance, and investing: budgeting and household money, accounting fundamentals, financial modelling in Excel, corporate finance, valuation, treasury, tax basics, and an honest, risk-aware introduction to investing across cash, bonds, equities, property, and digital assets.
Explore FinanceReady to start learning Data Science?
Free account, free first courses, certificates available on paid tracks. Cancel any subscription at any time.