Data Scientist
← Skill pathwaysUnderstand the role and build the skills needed to perform it.
A Data Scientist turns a business problem into an evidence-based experimental process. The role involves building reliable working datasets, formulating hypotheses, establishing baselines, developing and comparing models, measuring uncertainty and bias, and helping integrate models into products and operational processes.
This skills pathway organizes the training needed to build coherent operational capability: the Professional Data Scientist pathway is the core foundation, complemented by Python, SQL, Machine Learning, Data Modeling & Pipelines and Power BI.
🎯 Essential
🧩 Recommended
Python
Python is the main working environment for preparing data, experimenting and developing models.
View learning track →SQL
SQL is essential for extracting, checking and preparing the data used in experiments.
View learning track →Machine Learning
Deepens Machine Learning methods, model evaluation and modelling choices.
View learning track →➕ Complementary
You remain free to purchase each learning track separately, at your own pace.
All skill pathways