Liora Data Scientist Bootcamp

Liora Data Scientist Bootcamp

The Liora Data Scientist Bootcamp is a 400-hour French remote hybrid training path for becoming a data scientist, combining Python/data foundations, machine learning, deep learning, LLMs, data engineering, MLOps, a 120-hour project, cloud certification exposure, and career support.

Key points

  • Liora offers the Data Scientist path in two formats: a 3-month intensive bootcamp at 35-40 hours per week, or a 9-month part-time rhythm at 10-12 hours per week [src-050].
  • Both formats total 400 hours and include about 120 hours of project work, with learners working in pairs or trios on real, uncleaned data and presenting projects through quarterly Data Days [src-050].
  • Admission expects a level 6 certification or equivalent in IT/digital fields plus a good math level, with possible derogation through application review and written test [src-050].
  • The curriculum covers Python, NumPy, Pandas, Matplotlib, Seaborn, Plotly, Linux/Bash, Git/GitHub, Pytest, Scikit-learn, bagging/boosting, clustering, regression, anomaly detection, ARIMA/SARIMA, PCA, SHAP, text mining, BeautifulSoup, TensorFlow, PyTorch, Hugging Face, LLMs, GenAI, SQL, PySpark, Docker, and MLflow [src-050].
  • The certification layer includes a Data Scientist certificate from Ecole des Mines Paris – PSL Executive Education and block 2 of the RNCP38587 level 7 AI engineering certification delivered by ANAPIJ [src-050].
  • Liora includes a one-day AWS Cloud Practitioner preparation track, taught remotely by certified Amazon Authorized Instructors, as part of the Data Scientist path [src-050].
  • The syllabus frames employability through career coaching, alumni resources, salary expectations, funding options, accessibility accommodations, and pathways toward data engineer, AI engineer, ML/deep learning engineer, DevOps, and related roles [src-050].

Related entities

Related concepts

Source references

  • [src-050] Liora – “Liora Data Scientist Syllabus” (2026-01)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

Recommended next

Keep reading from this thread

From 494 indexed pages and articles.

  1. Wiki concept Liora A French technology training provider represented in this wiki by its Data Scientist syllabus, a 400-hour remote hybrid program covering Python, data visualization Related by liora
  2. Wiki concept Data Science & AI Bootcamp Data Science & AI Bootcamp A Data Science & AI bootcamp is an intensive, applied training format that compresses analytics, statistics, machine learning, deep learning, model Related by liora
  3. Insight AI Beyond POCs How enterprise AI moves beyond proofs of concept through ownership, governance, measurement, adoption, and production operating models Readers have engaged with this next