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Bootcamp
Data Product Management
- +4000 Alumnis in the world
- 90% Rate of professional integration after 6 months
- +500 Partner companies
Our 3 next training sessions
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Remaining places |
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Time |
Dates |
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8
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Hybride - Paris
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4 weeks - Full-time
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02/09/2024 -> 02/09/2024
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12
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Hybride - Paris
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4 weeks - Full-time
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30/09/2024 -> 28/10/2024
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16
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Hybride - Paris
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4 weeks - Full-time
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28/10/2024 -> 25/11/2024
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Bootcamp
About you
Data Product Management
Career courses
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Choose your session
Find out more about our programme!
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
Fundamentals of Data Management
Module 2
Strategy and data analysis
Module 3
Development and launch of Data-centric products
Module 4
Post-launch management and development
1 week
Fundamentals of project management
➜ Role, skills and tools of the Data Product Manager
➜ Basic principles of data management
➜ Agile methodologies applied to Data Product Management
➜ Project planning and monitoring
➜ Communication with technical and non-technical teams
1 week
Data-driven product strategy
➜ Development of a data-driven product strategy.
➜ Identification and definition of key KPIs
➜ Use of advanced analysis tools (SQL, Python, etc.)
➜ Data cleaning and validation techniques
➜ Data security and confidentiality management
1 week
Agile design and development
➜ Collaboration with UX/UI teams
➜ Prototyping and user testing
➜ Integrating agile practices into product development
➜ Backlog and priority management
➜ Marketing strategies
➜ Product release planning
1 week
Monitoring, optimisation and team management
➜ Analysis of user feedback and adjustments
➜ A/B testing and continuous optimisation techniques
➜ Data-driven innovation strategies
➜ Leadership skills for Data Product Managers
➜ Managing multidisciplinary teams
Skills
✔ Understanding the roles and responsibilities in Data Product Management
✔ Managing and using data for decision-making
✔ Application of Agile project management principles
Skills
✔ Development of data-driven product strategies
✔ Mastery of data analysis tools and techniques
✔ Managing data quality and confidentiality issues
Skills
✔ Design and development of data-driven products
✔ Agile management of data-centric product development
✔ Planning and execution of product launch strategies
Skills
✔ Post-launch product monitoring, analysis and optimisation
✔ Innovation and continuous product adaptation
✔ Leadership and management of multidisciplinary teams
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 an RNPC 7
Data Product Management
There are many financing options available to you, and we're here to help you find the one that's best for you.
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 skills will you have acquired by the end of the Data Product course?
The course leads to validation of the level 7 skills block "Developing an artificial intelligence solution". Successful completion of this block of skills will enable you to validate part of the RNCP36129 "Artificial Intelligence Project Manager" certification awarded by the Collège de Paris.
This certification is made up of 4 blocks of skills:
Block 1: Developing an artificial intelligence solution using Design Thinking
Block 2: Managing an artificial intelligence project
Block 3: Developing an artificial intelligence solution (Machine and Deep Learning)
Block 4: Deploying an artificial intelligence solution.
Obtaining the full RNCP36129 certification is therefore based on capitalising on the 4 blocks of skills that make it up.
Each block can be acquired individually. An acquired block is definitive. A certificate of achievement is issued for validation, a strong signal on the job market.
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.