Training
Data Analyst & AI
La double compétence qui change tout ! explorez la puissance de l’IA Générative. Transformez les données en insights stratégiques et boostez votre carrière.
IA GENERATIVE
PYTHON
BUSINESS
DATA VISUALIZATION
STORYTELLING
"They trust us".
Student satisfaction
Rate of return to employment
Obtaining certifications
Who is it for? this training?
100% financed: CPF, France Travail, Région, OPCO, ...
Training essentials
-
Target audience
-
Prerequisites
-
Admission
-
Certification
-
Session dates
-
Financing solutions
-
Made to measure
-
Duration & Organization
Who is this program for?
Validated Bac+2 level in the IT field or equivalent professional experience in
a technical environment.
For career changers, strong motivation, algorithmic logic
basic knowledge and proficiency in office automation tools are essential
Good level of general digital literacy (web browsing, file management, use of tools, etc.)
collaborative)
Connaissance de base en programmation (ex. notions en Python, JavaScript, Java ou C#) appréciée
but not compulsory: a placement test to assess level
Ability to work independently and follow an intensive training schedule
En résumé, aucune expertise préalable n’est exigée, mais une base en logique / algorithmique, une
appétence pour le code et une forte motivation sont indispensables pour réussir.
Before you start
Validated Bac+2 level in the IT field or equivalent professional experience in a technical environment.
For career changers, strong motivation, basic algorithmic logic and mastery of office automation tools are essential.
Good level of general digital literacy (web browsing, file management, use of collaborative tools).
Connaissance de base en programmation (ex. notions en Python, JavaScript, Java ou C#) appréciée mais non obligatoire : un test de positionnement permet d’évaluer le niveau.
Ability to work independently and follow an intensive training schedule.
In short, no prior expertise is required, but a grounding in logic/algorithms, an appetite for code and strong motivation are essential for success.
Admission stages
Step 1: Personalized appointment with an advisor to define your project
Step 2: Project validation and alignment with your career objectives
Step 3: Choice of ideal rhythm: intensive, alternating or part-time
Step 4: Placement test & validation of prerequisites to ensure your success
Step 5: Validation of financing with the support of our experts.
Step 6: Session planning and official launch of the adventure at DATAROCKSTARS.
Recognized certifications
Notre formation Data Analyst vous permet de valider le Titre Professionnel Concepteur Développeur d’Applications (RNCP level 6)essential for any retraining in code-related professions.
It goes further with the Title RS6763 – Python Data Science, pour maîtriser l’analyse, la manipulation
et la visualisation de données.
DATAROCKSTARS certification!
Dates & registration
We launch new promotions every month.
Contact us for exact dates and a detailed calendar.
Solutions tailored to your profile
We do our utmost to identify the most suitable financing solutions for your business.
your situation.
An advisor will be happy to discuss this with you.
Personalized support
Our training courses are designed to meet your specific needs. Together, we build a course
to meet your educational objectives.
Contact our teams for personalized support.
Complete autonomy
Intensive 3-month bootcamp with access to our teaching resources, learning platform and labs. Designed for candidates wishing to progress in total autonomy, this format requires rigor, motivation and the ability to self-organize.
Intensive 3-month (400h) blended learning bootcamp, delivered in small, homogeneous cohorts. Designed for candidates who are available full-time, it enables rapid retraining and accelerated integration into the job market.
Blended Learning - Part Time
A format designed for working professionals (freelance, permanent or fixed-term contracts), enabling them to enhance their skills without leaving their jobs, thanks to flexible schedules outside office hours. Delivered in small, homogeneous cohorts.
FreeFlow Learning - Part Time
Training that adapts to you, not the other way around! With FreeFlow Learning, you benefit from tailor-made support: a dedicated trainer who adjusts the content, pace and timetable to your needs, so you can make effective progress without constraints.
An advisor will help you choose the most suitable pace and financing.
You'll find detailed pricing further down the page. Make an appointment today and bring your project to life!
Detailed program training
Module 1: Introduction to Data & AI
Panorama de la data et de ses usages (analyse, IA, Big Data)
Panorama des métiers de la Data et focus sur le rôle du Data Analyst
Découverte des outils essentiels (Excel, SQL, Python, Tableau/Power BI)
Python, le langage du Data Analyst
Présentation de Python et de son écosystème Data
Remise à niveau sur les bases du langage (variables, boucles, fonctions, librairies)
First practical exercises in simple analysis
Objectif : acquérir une vision claire du métier de Data Analyst et poser les bases techniques en Python pour explorer, traiter et valoriser des données.
Module 2: Application development & Data project management
Fundamentals of CDA certification & Fil Rouge project
Understanding the prerequisites for CDA certification
Discover the Fil Rouge project objective and methodology
Choosing and starting your own project topic
Introduction to IT project management
Modern management methods: Scrum, Kanban
Traditional project management and team organization
Git for collaborative work
Versioning your code
Work effectively in a team on a single project
Objective: learn how to develop, structure and manage a Data project in a professional way, while adopting good collaborative practices.
Module 3: Data analysis in SQL
Introduction à SQL et aux bases de données
Essential queries: selection, joins, aggregations
Quickly extract and analyze relevant information
DBMS design
Creating and reading a UML diagram
Good design practices and quality criteria
Introduction aux bases de données NoSQL
Discover document and graph-oriented databases
Comprendre les nouveaux usages des données non structurées
Objectif : maîtriser les bases de SQL pour analyser efficacement les données et découvrir l’univers des bases relationnelles et NoSQL.
Module 4: Data analysis in Python
NumPy pour le calcul matriciel et statistique
Manipuler des tableaux et matrices
Perform rapid statistical and scientific calculations
Pandas for tabular manipulation
Create, clean and transform DataFrames
Analyser et préparer des données pour l’exploration
Objectif : apprendre à exploiter Python et ses librairies incontournables pour manipuler et analyser des données de manière professionnelle.
Module 5: Data Visualization
Display types
Identify the right graphic for the right purpose (bars, curves, heatmaps, etc.).
Comprendre l’impact du visuel sur l’interprétation des données
Matplotlib & Seaborn pour Python
Create simple and advanced static visualizations
Explorer les corrélations et tendances avec des graphiques adaptés
Interactive visualizations with Power BI
Construire des dashboards interactifs pour l’analyse métier
Explore Power BI's advanced features
Tableau comme alternative
Découverte de Tableau Software
Comparison with Power BI for concrete business cases
Objectif : maîtriser la visualisation des données et savoir présenter des résultats clairs et impactants avec Python et des outils BI.
Module 6: Web Scrapping
Introduction au Web Scraping
Principles, uses and legal framework of scraping
Cas concrets d’applications dans la Data et la veille
Application development basics
Comprendre la structure des pages web (HTML, CSS, JavaScript)
Identify the elements that can be used on a page
Analyse de pages HTML avec BeautifulSoup
Extract targeted information
Handling content in preparation for analysis
Automated scraping with Selenium
Navigating and interacting with dynamic pages
Créer des scripts pour collecter des données en continu
Objectif : savoir extraire et traiter des données issues du web grâce à des techniques de scraping performantes et sécurisées.
Module 7: Application development with Streamlit
Dashboards interactifs avec Streamlit
Construire des applications simples et efficaces en Python
Add filters, graphics and real-time interactions
Introduction to MVC architecture
Understand the basics of the MVC model (Model, View, Controller)
Organize your code for greater clarity and maintainability
Deployment with Docker
Introduction to containerization
Déployer facilement vos applications Streamlit sur différents environnements
Objectif : savoir concevoir, structurer et déployer des applications Data interactives et professionnelles.
Module 8: Generative AI: Fundamentals
Definition & history of generative AI
Understanding the major stages in its evolution
From the first models to today's uses
Professional uses of generative AI
Communication, legal, marketing, HR, customer service
Case studies and productivity gains
Prompt Engineering fundamentals
How to write clear, effective prompts
Simple examples and best practices
Introduction to LLMEngineering safety
Comprendre les limites et risques (hallucinations, biais, fuite de données)
First reflexes for responsible use
Objective: acquire a clear vision of generative AI, its professional uses and the best practices for making the most of it in complete safety.
Detailed program training
Module 1: Introduction to Data & AI
Panorama de la data et de ses usages (analyse, IA, Big Data)
Panorama des métiers de la Data et focus sur le rôle du Data Analyst
Découverte des outils essentiels (Excel, SQL, Python, Tableau/Power BI)
Python, le langage du Data Analyst
Présentation de Python et de son écosystème Data
Remise à niveau sur les bases du langage (variables, boucles, fonctions, librairies)
First practical exercises in simple analysis
Objectif : acquérir une vision claire du métier de Data Analyst et poser les bases techniques en Python pour explorer, traiter et valoriser des données.
Module 2: Application development & Data project management
Fundamentals of CDA certification & Fil Rouge project
Understanding the prerequisites for CDA certification
Discover the Fil Rouge project objective and methodology
Choosing and starting your own project topic
Introduction to IT project management
Modern management methods: Scrum, Kanban
Traditional project management and team organization
Git for collaborative work
Versioning your code
Work effectively in a team on a single project
Objective: learn how to develop, structure and manage a Data project in a professional way, while adopting good collaborative practices.
Module 3: Data analysis in SQL
Introduction à SQL et aux bases de données
Essential queries: selection, joins, aggregations
Quickly extract and analyze relevant information
DBMS design
Creating and reading a UML diagram
Good design practices and quality criteria
Introduction aux bases de données NoSQL
Discover document and graph-oriented databases
Comprendre les nouveaux usages des données non structurées
Objectif : maîtriser les bases de SQL pour analyser efficacement les données et découvrir l’univers des bases relationnelles et NoSQL.
Module 4: Data analysis in Python
NumPy pour le calcul matriciel et statistique
Manipuler des tableaux et matrices
Perform rapid statistical and scientific calculations
Pandas for tabular manipulation
Create, clean and transform DataFrames
Analyser et préparer des données pour l’exploration
Objectif : apprendre à exploiter Python et ses librairies incontournables pour manipuler et analyser des données de manière professionnelle.
Module 5: Data Visualization
Display types
Identify the right graphic for the right purpose (bars, curves, heatmaps, etc.).
Comprendre l’impact du visuel sur l’interprétation des données
Matplotlib & Seaborn pour Python
Create simple and advanced static visualizations
Explorer les corrélations et tendances avec des graphiques adaptés
Interactive visualizations with Power BI
Construire des dashboards interactifs pour l’analyse métier
Explore Power BI's advanced features
Tableau comme alternative
Découverte de Tableau Software
Comparison with Power BI for concrete business cases
Objectif : maîtriser la visualisation des données et savoir présenter des résultats clairs et impactants avec Python et des outils BI.
Module 6: Web Scrapping
Introduction au Web Scraping
Principles, uses and legal framework of scraping
Cas concrets d’applications dans la Data et la veille
Application development basics
Comprendre la structure des pages web (HTML, CSS, JavaScript)
Identify the elements that can be used on a page
Analyse de pages HTML avec BeautifulSoup
Extract targeted information
Handling content in preparation for analysis
Automated scraping with Selenium
Navigating and interacting with dynamic pages
Créer des scripts pour collecter des données en continu
Objectif : savoir extraire et traiter des données issues du web grâce à des techniques de scraping performantes et sécurisées.
Module 7: Application development with Streamlit
Dashboards interactifs avec Streamlit
Construire des applications simples et efficaces en Python
Add filters, graphics and real-time interactions
Introduction to MVC architecture
Understand the basics of the MVC model (Model, View, Controller)
Organize your code for greater clarity and maintainability
Deployment with Docker
Introduction to containerization
Déployer facilement vos applications Streamlit sur différents environnements
Objectif : savoir concevoir, structurer et déployer des applications Data interactives et professionnelles.
Module 8: Generative AI: Fundamentals
Definition & history of generative AI
Understanding the major stages in its evolution
From the first models to today's uses
Professional uses of generative AI
Communication, legal, marketing, HR, customer service
Case studies and productivity gains
Prompt Engineering fundamentals
How to write clear, effective prompts
Simple examples and best practices
Introduction to LLMEngineering safety
Comprendre les limites et risques (hallucinations, biais, fuite de données)
First reflexes for responsible use
Objective: acquire a clear vision of generative AI, its professional uses and the best practices for making the most of it in complete safety.
Pedagogical innovation for your success
Le monde évolue vite : vos formations doivent s’adapter à vos contraintes, à votre rythme et aux nouvelles façons d’apprendre. Chez nous, l’innovation pédagogique est au cœur de chaque parcours : pratique, flexible et personnalisée pour garantir une montée en compétence immédiate et durable.
THE AI integrated into your training programme
Peu importe la formation choisie, nous avons repensé toute notre ingénierie pédagogique pour y intégrer l’intelligence artificielle.
Dans vos projets fil rouge, les modules et les sessions d’accompagnement, vous apprendrez à utiliser l’IA pour innover, analyser et automatiser, tout en cultivant les bons réflexes et la réflexion éthique.
-
Working with AI in your projects
-
Discover advanced tools for your domain
-
Being ready for the market of the future
-
Boost your skills and become an augmented student
Complete autonomy
100% autonomous training, ideal for self-disciplined, self-motivated and self-organized candidates.
3200 €
- Dedicated platform
- Exercises and Projects
- 200 h of online courses
- Support
Blended Learning
Intensive 3-month bootcamp (400h) in small cohorts, for rapid retraining and accelerated integration into the workforce
4500 €
- Dedicated platform
- Exercises and Projects
- 400 h of online courses
- Real-time chat with our trainers
- Mentoring, Masterclass
- Certification support
- Access to our Recruitment / Jobdating platform
- Career support
Blended Learning
Flexible format for working professionals, with flexible after-hours hours.
5500 €
- Dedicated platform
- Exercises and Projects
- 400 h of courses
- Real-time chat with our trainers
- Mentoring, Masterclass
- Certification support
- Access to our Recruitment / Jobdating platform
- Career support
FreeFlow Learning
6900 €
- Dedicated platform
- Exercises and Projects
- 400 h of courses
- Real-time chat with our trainers
- Mentoring, Masterclass (dedicated - flexible)
- Flexible 3 or 6-month diary
- Adaptive learning
- Certification support
- Additional support hours on request
A development platform all-in-one
The complete route Datarockstars
Forgez votre succès avec la data science : Plongez dans notre formation pour développer des compétences essentielles et recherchées.
Cette formation est certifiante est délivre un diplôme d’état : Certification RNCP de niveau 6 (équivalent à un BAC+3/4 sur le marché du travail)
Discovery & Integration
L’aventure démarre par une immersion dans l’univers de la data, de l’IA et de la cybersécurité. Nos apprenants découvrent les métiers, renforcent leurs bases techniques et prennent en main les outils indispensables pour réussir.
Training & Projects
The course culminates in a "red thread" project presented to a professional jury. This stage officially validates the skills acquired and crowns the course with a DataRockstars certification recognized on the market.
Certification
At the end of the course, a final project is presented to a jury to validate skills and obtain Datarock Stars certification.
Professional integration
We don't just train you in a profession, we accompany you all the way to employment. Personalized coaching, job dating, access to our network of partner companies: everything is done to speed up your recruitment.
Network & Community
With DataRockstars, training is just the beginning. You become part of an active community of alumni and professionals. Participate in exclusive events, masterclasses, hackathons, afterworks... You're now part of a close-knit family that shares the same values and opens doors throughout your career.
Data & AI professions that await you tomorrow!
A panorama of the most sought-after professions in the Data & AI sector
-
AI Engineer
-
Data Scientist
-
Data Analyst
-
Data Engineer
-
MLOps Engineer
-
Data Architect
-
Data Product Manager
-
Data Steward (Governance)
-
NLP Engineer (LLMs)
-
Computer Vision Engineer
-
Database Administrator (DBA)
-
Chief Data Officer (CDO)
Launch your career and find
a job!
Testimonials from our students
Why choose our training?
At DATAROCKSTARS, the satisfaction of our learners is our greatest success. Thanks to innovative teaching methods, tailor-made support and concrete projects, our students develop solid skills that are directly applicable in the job market.
Make an appointment now!
- Call our experts
Simple, effective and free of charge, if you need to find out if this training is right for you, our experts are here to help.
Do you have any questions?
Our teaching experts are here to answer your questions, so don't hesitate to apply!