Data Science Career Roadmap
By Karthick Selvam · Published · Updated
A structured path into data science.
Foundations
Statistics and probability, Python, SQL and data visualisation.
Machine learning
Supervised and unsupervised methods, evaluation, feature engineering and scikit-learn.
Applied skills
Experiment design, A/B testing, time series and communicating findings to stakeholders.
Engineering
Version control, reproducible pipelines, basic cloud and model deployment.
Portfolio
End-to-end projects showing a business question, method and decision.
Frequently asked questions
Do I need a master's degree?
Not necessarily; strong projects and practical skills can open doors, though some employers prefer advanced degrees.
Related programmes
- Advanced SQL for Data Professionals
- Power BI for Business Analytics
- Python for Data Engineering & Analysis
Turn this into a team capability
Our corporate programmes cover topics like this hands-on, mapped to your stack.
Data & Analytics guides
Python vs SQL for Data Work: Which to Learn First?
SQL and Python solve different parts of data work. Most data professionals need both.
What Is Power BI?
Power BI is Microsoft's business intelligence platform for connecting to data, modelling it and building interactive reports.
What Is Data Science?
Data science combines statistics, programming and domain knowledge to extract insights and build predictive models from data.