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Bootcamp
Data Product Management
- +5000 Alumnis in the world
- 83% Rate of professional integration after 6 months
- +500 Partner companies
Our 3 next training sessions
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Remaining places |
Format |
Time |
Dates |
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3
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Hybride - Paris
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4 weeks - Full-time
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24/11/2025 -> 19/12/2025
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8
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Hybride - Paris
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4 weeks - Full-time
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02/03/2026 -> 27/03/2026
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10
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Hybride - Paris
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4 weeks - Full-time
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01/06/2026 -> 26/06/2026
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Bootcamp
About you
Data Product Management
Career courses
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Master the fundamental skills of Data Analytics
Analyze
Interpret and exploit data to guide strategic decisions and product development.
Innovate
Introduce innovative approaches to the management and presentation of data-centric projects.
Communicate
Effectively articulate the objectives and outcomes of data projects to diverse audiences, including both technical and non-technical teams.
Guide
Lead multi-disciplinary teams, focusing on achieving data and product objectives with agility and precision.
Program Data Product Manager Bootcamp
Module 1
Data Project basics Management
Module 2
Data Intelligence and Visualisation
Module 3
Data Governance and Data Acculturation
Module 4
Cloud & Data Modeling
Module 5
AI Strategy & Generative AI
32 hours
DATA & AGILE PRODUCT MANAGEMENT
- Data product design: from ideation to Minimum Viable Product (MVP).
- Agile methodologies and Scrum framework applied to data projects.
- Product Owner roles and missions: backlog management, user stories and sprints.
- Strategic role of the Product Manager: steering the entire product life cycle.
- Key product management tools (Jira, Miro, Figma).
32 hours
ANALYSIS, KPI AND DATA VISUALISATION
- Data fundamentals: Data Lifecycle and Modern Data Stack.
- Structured data analysis and advanced functions on Google Sheets.
- Defining and managing performance via KPIs
- Data Visualisation with Looker Studio: connecting to sources and creating dashboards.
- Principles of Business Analysis: EDA (Exploratory Data Analysis) and problem structuring (MECE).
32 hours
GOVERNANCE, ETHICS AND COMMUNICATION
- Data project management (Agile, Waterfall) and definition of objectives (OKR).
- Fundamentals of Data Governance (Data Maturity Assessment, Data Cataloging, Data Lineage, etc.)
- Ethical and legal issues surrounding AI (Bias, RGPD, EU AI Act).
- Mastery of storytelling and high-impact presentation techniques.
32 hours
GOOGLE CLOUD & SQL FUNDAMENTALS
- Understanding the Google Cloud (GCP) ecosystem to manage Data/IA projects.
- Mastering the concepts of the Data Warehouse (BigQuery) to centralise information.
- Translate business questions into SQL queries to extract insights.
- Combine and aggregate data to measure performance and make decisions.
32 hours
A GENERATIVE AND IA DEPLOYMENT STRATEGY
- Fundamental concepts of Generative AI and Agentique.
- Strategic use cases, governance and management of GenAI.
- Machine Learning foundation for AI projects.
- Managing an AI project: from design to industrialisation.
- Evaluating the performance of AI models.
- Production deployment (MLOps) : CI/CD, monitoring and drift model management.
Skills
✔ Mastery of Agile methodologies (Scrum) for data projects.
✔ Understanding the distinct roles of Product Owner. and Product Manager.
✔ Ability to define a product vision, an MVP and manage a backlog
✔ Application of the key phases of a product's life cycle (Discovery, Design, Development).
Skills
✔ Understanding the data ecosystem (Modern Data Stack, Data Lifecycle).
✔ Mastering data analysis and advanced functions on Google Sheets.
✔ Build impactful, interactive dashboards with Looker Studio.
✔ Structuring a business analysis and defining KPIs (EDA, S.M.A.R.T.).
Skills
✔ Identify and apply key roles and responsibilities within a data governance structure.
✔ Assess and improve data quality, including requirements definition, measurement, analysis and monitoring.
✔ Identify the ethical and legal issues of AI.
✔ Structuring an impactful presentation using storytelling.
Skills
✔ Understanding the strategic role of the Cloud (GCP) in Data/IA projects.
✔ Become autonomous in data extraction and analysis (SQL).
✔ Ask business questions directly to the data via BigQuery.
✔ Know how to aggregate and combine data to monitor KPIs.
Skills
✔ Master the concepts and strategies of Generative AI.
✔ Managing an AI project, from design to production.
✔ Identify Machine Learning techniques and evaluate their performance.
✔ Understand the principles of industrial deployment (MLOps).
Classic training day
Our days are organised to make it easier for you to learn and progress.
| 09h30 |
10h30 |
13h |
14h |
17h30 |
18h30 |
CoursesAfter a good cup of coffee, we start with a lesson on the topic of the day. No slides or long theoretical explanations: our courses are totally practical and based on real cases. |
ChallengesNow it's your turn! For each day, we've designed a series of exercises of increasing difficulty based on real cases. You work in pairs and our experts are there to help you and answer any questions you may have. |
🍕 Lunch |
ProjectThroughout the course, you will work on a "common thread" project that you will present at the final demo day. It's an opportunity to get your mind off things and consolidate what you've learned on previous days. |
Live reviewReturn to the classroom with the teacher to work together on certain exercises or explore new techniques and the best solutions from the Artefact experts. |
🍻 🎭 |
Choose your course according to your level
Beginner level
Launch your data career!
You’re a beginner and want to become a Data Product Manager. By following all the modules, this profession will hold no secrets for you.
Length of course 4 weeks
Intermediate level
To improve your skills!
You already have a basic knowledge of Data. You’re going to enrich your knowledge by following the appropriate modules.
Length of course 4 weeks
Expert level
For perfect control!
You already have solid technical skills in data. You’ll be able to hone your expertise and grow by choosing the modules you want.
Length of course 4 weeks
Training led by our Artefact experts
Learn directly from our Artefact data experts, who are at the heart of the action every day in the world's finest companies.
They are much more than just trainers, they are leading-edge players in the field of data, ready to pass on their know-how and Artefact expertise to you.
Our alumnis Data Product in post
Our data analytics students have landed jobs at Artefact and some of the world's top companies.
96% find a job within 6 months and sometimes even before the end of their training.
Nathalie Roussel
Data Product Manager at Cocktail Digital
" I appreciated the reception conditions, the availability and attentiveness of the trainers, their level of skills and their ability to adapt to the audience. The content was impeccable. Theory, method, practical cases, the teaching grid is complete. "
Anna Sobot
Data Product Manager at Intento
" I'm extremely satisfied with everything I've learnt. The school and all the staff are very welcoming and manage to make us feel at home. The course materials are well produced and the teaching staff are very competent and passionate. "
Nathalie Cazaux
Data Analyst at Soitec
" I found the course to be perfectly in tune with today's technological requirements. The approach, the teachers and the real-life cases have significantly enriched my skills, particularly in Deep Learning and Data Engineering. "
Arthur Moulon
Data Scientist at Saint Gobain
" After an open day at the Artefact School of Data, I was won over by the rigour and richness of their training. Today, as a Data Scientist at Saint-Gobain, I'm living out my passion for technology and innovation thanks to the skills I acquired there. "
Get certified
Data Product Management
Gain recognition in the eyes of industry professionals with an ARTEFACT teaching diploma.
How to finance your training?
It is possible to obtain full or partial funding for your training.
Our team is available to help you find the solution best suited to your situation and put together your finance application.
Depending on your situation, you can receive CPF, POEI, CSP, Pôle emploi, Agefiph, OPCO, professional transition or regional funding, or you can finance the training yourself in several instalments.
How to register for the training?
Apply
Simply leave us your contact details and we'll get back to you as soon as possible to build your project.
Let's connect
Choose a slot for the admission interview. It is a A time for sharing to get to know each other better.
Finance your project
Once your successful applicationa member of our team can help you find Financing the most suitable.
Join the bootcamp
Congratulations, all you need to do is some preparatory work at home and you're off.
Ready to launch your career?
Get our training programme
Do you have a question?
Our Career Team is by your side
Benefit from the expertise of Artefact’s HR department and our network of partner companies to secure your future permanent contract.
average rating
Alumnis in the world
Partner companies
FAQ
Do you have any other questions about Artefact School of Data? We'd love to hear from you.
What career opportunities are there after a Data Product course?
The most common roles include :
Data Product Manager: This role is the most direct outlet for those who have undergone specific training. Data Product Managers can work in a variety of industries where data plays a key role in product creation.
Data Project Manager: This management position involves managing data teams and overseeing the company's data projects.
Head of Data Science: This role requires a good knowledge of data-driven products, as well as the ability to manage a team of data scientists.
Head of Data Analysis: This role focuses on using data to inform the company's strategic decisions.
Chief Data Strategist: This executive position oversees how data is used across the business to achieve strategic objectives.
What salary can you expect as a Data Product?
A Data Product Manager can expect an average salary of between €45,000 and €60,000, depending on the sector and the company.
What are the tasks of a Data Product?
A Data Product Manager has a number of key roles: Defining the vision and strategy for the data-driven product, based on the needs of the business and the market. Working with data scientists, engineers and other stakeholders to develop and optimise the product. Oversee the product lifecycle from conception to launch and beyond. Ensure communication between technical and non-technical teams to ensure a clear understanding of objectives and outcomes. Use data and analysis to inform decisions about the product and to measure its success.
What is a Data Product?
A Data Product Manager who oversees the development and management of data-driven products within an organisation. He or she acts as a bridge between the technical teams, who analyse and interpret the data, and the non-technical teams, who use this information to make strategic decisions. The Data Product Manager defines the product's vision and strategy, works closely with data scientists and engineers to develop data-based products, and ensures that these products meet users' needs and contribute to achieving the company's objectives.