Training
Data Analyst & AI
The dual skill that changes everything! Explore the power of Generative AI. Transform data into strategic insights and boost your career.
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
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Target audience
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Prerequisites
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Admission
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Certification
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Session dates
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Financing solutions
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Made to measure
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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)
Basic programming knowledge (e.g., notions of Python, JavaScript, Java or C#) appreciated
but not compulsory: a placement test to assess level
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 a high level of motivation are all essential for success.
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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).
Basic knowledge of programming (e.g. notions of Python, JavaScript, Java or C#) appreciated but not compulsory: a placement test is used to assess level.
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
Our Data Analyst course qualifies you for the 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, for mastering analysis, manipulation and
and data visualization.
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
Overview of data and its uses (analysis, AI, Big Data)
Overview of Data professions and focus on the role of the Data Analyst
Discover essential tools (Excel, SQL, Python, Tableau/Power BI)
Python, the language of the data analyst
Introducing Python and its Data ecosystem
Refresher course on language basics (variables, loops, functions, libraries)
First practical exercises in simple analysis
Objective: acquire a clear vision of the Data Analyst profession and lay the technical foundations in Python for exploring, processing and adding value to data.
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 to SQL and databases
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 to NoSQL databases
Discover document and graph-oriented databases
Understanding the new uses of unstructured data
Objective: master the basics of SQL for efficient data analysis and discover the world of relational and NoSQL databases.
Module 4: Data analysis in Python
NumPy for matrix and statistical calculation
Handling arrays and matrices
Perform rapid statistical and scientific calculations
Pandas for tabular manipulation
Create, clean and transform DataFrames
Analyze and prepare data for exploration
Objective: learn how to use Python and its essential libraries to manipulate and analyze data in a professional way.
Module 5: Data Visualization
Display types
Identify the right graphic for the right purpose (bars, curves, heatmaps, etc.).
Understanding the impact of visuals on data interpretation
Matplotlib & Seaborn for Python
Create simple and advanced static visualizations
Explore correlations and trends with appropriate graphics
Interactive visualizations with Power BI
Build interactive dashboards for business analysis
Explore Power BI's advanced features
Table as an alternative
Discover Tableau Software
Comparison with Power BI for concrete business cases
Objective: master data visualization and present clear, impactful results using Python and BI tools.
Module 6: Web Scrapping
Introduction to Web Scraping
Principles, uses and legal framework of scraping
Case studies in Data and Intelligence applications
Application development basics
Understanding the structure of web pages (HTML, CSS, JavaScript)
Identify the elements that can be used on a page
HTML page analysis with BeautifulSoup
Extract targeted information
Handling content in preparation for analysis
Automated scraping with Selenium
Navigating and interacting with dynamic pages
Create scripts for continuous data collection
Objective: learn how to extract and process data from the web using high-performance, secure scraping techniques.
Module 7: Application development with Streamlit
Interactive dashboards with Streamlit
Building simple, efficient applications in 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
Easily deploy your Streamlit applications on different environments
Objective: know how to design, structure and deploy interactive, professional Data applications.
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
Understand limits and risks (hallucinations, bias, data leakage)
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
Overview of data and its uses (analysis, AI, Big Data)
Overview of Data professions and focus on the role of the Data Analyst
Discover essential tools (Excel, SQL, Python, Tableau/Power BI)
Python, the language of the data analyst
Introducing Python and its Data ecosystem
Refresher course on language basics (variables, loops, functions, libraries)
First practical exercises in simple analysis
Objective: acquire a clear vision of the Data Analyst profession and lay the technical foundations in Python for exploring, processing and adding value to data.
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 to SQL and databases
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 to NoSQL databases
Discover document and graph-oriented databases
Understanding the new uses of unstructured data
Objective: master the basics of SQL for efficient data analysis and discover the world of relational and NoSQL databases.
Module 4: Data analysis in Python
NumPy for matrix and statistical calculation
Handling arrays and matrices
Perform rapid statistical and scientific calculations
Pandas for tabular manipulation
Create, clean and transform DataFrames
Analyze and prepare data for exploration
Objective: learn how to use Python and its essential libraries to manipulate and analyze data in a professional way.
Module 5: Data Visualization
Display types
Identify the right graphic for the right purpose (bars, curves, heatmaps, etc.).
Understanding the impact of visuals on data interpretation
Matplotlib & Seaborn for Python
Create simple and advanced static visualizations
Explore correlations and trends with appropriate graphics
Interactive visualizations with Power BI
Build interactive dashboards for business analysis
Explore Power BI's advanced features
Table as an alternative
Discover Tableau Software
Comparison with Power BI for concrete business cases
Objective: master data visualization and present clear, impactful results using Python and BI tools.
Module 6: Web Scrapping
Introduction to Web Scraping
Principles, uses and legal framework of scraping
Case studies in Data and Intelligence applications
Application development basics
Understanding the structure of web pages (HTML, CSS, JavaScript)
Identify the elements that can be used on a page
HTML page analysis with BeautifulSoup
Extract targeted information
Handling content in preparation for analysis
Automated scraping with Selenium
Navigating and interacting with dynamic pages
Create scripts for continuous data collection
Objective: learn how to extract and process data from the web using high-performance, secure scraping techniques.
Module 7: Application development with Streamlit
Interactive dashboards with Streamlit
Building simple, efficient applications in 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
Easily deploy your Streamlit applications on different environments
Objective: know how to design, structure and deploy interactive, professional Data applications.
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
Understand limits and risks (hallucinations, bias, data leakage)
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
The world is changing fast: your training courses need to adapt to your constraints, your pace and new ways of learning. With us,pedagogical innovation is at the heart of every course: practical, flexible and personalized to guarantee immediate and lasting skills enhancement.
THE AI integrated into your training programme
Regardless of the training course you choose, we have redesigned our entire pedagogical engineering to incorporate artificial intelligence.
In your red thread projects, modules and coaching sessions, you will learn to use AI to innovate, analyze and automate, while cultivating the right reflexes and ethical thinking.
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Working with AI in your projects
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Discover advanced tools for your domain
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Being ready for the market of the future
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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
Forge your success with data science: immerse yourself in our training program to develop essential and sought-after skills.
This training program leads to a state diploma: RNCP level 6 certification (equivalent to a BAC+3/4 on the job market).
Discovery & Integration
The adventure begins with an immersion in the world of data, AI and cybersecurity. Our learners discover the professions, strengthen their technical foundations and get to grips with the tools they need to succeed.
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
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AI Engineer
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Data Scientist
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Data Analyst
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Data Engineer
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MLOps Engineer
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Data Architect
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Data Product Manager
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Data Steward (Governance)
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NLP Engineer (LLMs)
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Computer Vision Engineer
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Database Administrator (DBA)
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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!