Data Scientist

understanding how a Data Scientist explores data and builds analytical or predictive models

Discover the Data Scientist role: exploration, hypotheses, statistics, machine learning, experimentation, interpreting results, data collaboration, and a real-world predictive modeling case.

A discovery and orientation course — does not constitute a professional certification.

What you'll cover — 8 lessons

01 Discovering the career

02 Understanding day-to-day responsibilities

03 Understanding the working environment

04 Discovering the tools and technologies

05 Identifying the required skills

06 Following a concrete professional case

07 Building your path toward this career

08 Orientation workshop

Data Scientist

9,90 €

excl. VAT · 80 credits included

Your Skills Development Pathway

Recommended Mandragore courses to develop the skills required for this career.

🎯 Essential

Data Scientist

The Professional Data Scientist pathway is the core training route for running a complete Data Science process, from experimentation to production deployment and model monitoring.

Python

The core language of data science, from exploration to predictive modeling.

SQL

Essential for extracting and exploring source data.

Machine Learning

Deepens the ability to build and evaluate predictive models.

🧩 Recommended

Power BI

Useful for communicating model results to business teams.

ChatGPT

Speeds up data exploration and analysis code generation.

Data Modeling & Pipelines

Helps make the data used in analyses and models more reliable.

➕ Complementary

Excel

Handy for quickly exploring small datasets.