DATA & IA

Data Scientist

Get a recognized diploma, support until you are hired and a flexible job that is in high demand.

Part-time (9 month)
Pantheon sorbonne
AWS certified

Program overview

SPRINT 1

Python Fundamentals

40h
  • Python for Data Scientist
  • Exploration Statistics
  • Data Quality
  • Object-oriented programming
SPRINT 2

Data Visualisation

20h
  • Matplotlib
  • Seaborn
  • Plotly
SPRINT 3

Programming tools

20h
  • Linux & Bash
  • Git & GitHub
  • Unit testing
  • AWS Cloud Practitioner
SPRINT 4

Machine Learning

30h
  • Classification
  • Regression
  • Clustering
SPRINT 5

Advanced Machine Learning

30h
  • Advanced Classification
  • Recommender Systems
  • Pipeline
SPRINT 6

Applied Machine Learning

20h
  • Dimension Reduction
  • Time Series
  • Anomaly Detection
  • Reinforcement Learning
SPRINT 7

Complex models

20h
  • Ethics
  • Bias & Interpretability
  • MLflow
  • Text Mining
  • Web Scraping with BeautifulSoup
  • Graph Theory with NetworkX
SPRINT 8

Deep Learning Fundamentals

40h
  • Dense networks
  • Convolution networks
  • Keras - TensorFlow
SPRINT 9

Data Engineering

30h
  • SQL
  • API
  • PySpark
SPRINT 10

MLOps

30h
  • Streamlit
  • Docker
  • AWS Solution Architect

Hybrid learning format

We chose this hybrid approach because it combines the autonomy of an interactive platform with personalized masterclasses, minimizing dropouts and improving knowledge retention.

Learning periods on the Learn platform

This time supports learning the core concepts of each sprint module and applying them immediately through interactive exercises inspired by real-world cases, available anytime.

Masterclasses led by an expert instructor

Masterclasses led by experts and delivered via videoconference provide interactive discussions to deepen online modules through advanced topics.

Dowload the brochure

Data scientist goals

The Data Scientist develops complex analysis models to extract information from databases. These can be used to predict consumer behavior or to identify business or operational risks.

Studying

Study the company’s data to define which data will be extracted and processed.

Elaborate

Retrieve and analyse relevant data related to the company’s production process, sales or customer datasets.

Predict

Develop predictive models in order to anticipate evolutions or determine future business trends.

Model

Exploit the results of data analysis and modeling to make them readable, usable and actionable by other departments in the company.

Key metrics

95,6%
Success rate

The majority of our learners successfully validate the training and achieve their learning objectives.

93,05%
Completion rate

Most participants complete the training thanks to structured guidance and continuous support.

99%
Satisfaction rate

Learners highlight the quality of the program and its practical value for professional development.

Testimonials

Course Report
4.7/5
67 reviews
Google
4.8/5
458 reviews
Trustpilot
4.7/5
335 reviews
Contact
Qualiopi

All our training programs are AZAV-certified, officially recognized, and eligible for funding through the Bildungsgutschein from the Employment Agency or Jobcenter.

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