+33 7 67 06 80 56

Our trainings

Trainings Catalogue
Time and content are adjustable depending on your needs and main focus. Reach out to discuss your needs.​

Data science in the service of marketing

  • Highlights

    • Introduce data science, machine learning, their digital marketing applications and impact on the business.
    • Get a sense of +10 real world marketing use cases from the industry and how to approach them.
    • Topics related to data-driven customer acquisition, customer retention, behavior analysis, digital experience enhancement, and marketing campaign management will be aborded.
    • Deep diving in two real-world business cases involving data science and machine learning for marketing (Scoping in business context, Framing, Modelling, Evaluating the outcome...)

  • Audience

    • This training is designed to give an overview on the data science use cases from a product point of view.
    • It helps Data science Managers seeking ideas to frame use cases for their businesses
    • It contains extra Technical workshops with data scientists and data engineers to focus on how to design, industrialize models for such use cases.

    Profils: Data consultants, product owners, data scientists and engineers
    The content could be adjusted to match the team interests.

  • Learnings

    By the end of the training, you will have gained knowledge about the potential impact of data science on business and marketing through different examples of real world use cases. Additionally, you will have had the opportunity to deep dive and underrstand the methodology of two common uses cases (propensity modelling and customer behavioral segmentation).

Contact For more details

Scale up you data science or ML project: A Focus on MLops

  • Highlights

    • Introduce to state of the art tools and technics to handle effeciently ML projects.
    • Get a sense of how to deploy, scale up and monitor your ML models performance.
    • Topics related to models reproductiblity, experiments tracking, versionning, serving, monitoring and scaling will be discussed in details with reference to real world projects that we have in seen different companies.

  • Audience

    • This training is designed to give you a great understanding of the approaches and tools that you can use to succeed every step of data and machine learning projects
    • It helps Data science Managers define best practices and suitable tools for their teams
    • We can host extra Technical workshops with data scientists and data engineers to focus on the tools of your choice

    Profils: Data consultants, Data scientists and data engineers

  • Learnings

    By the end of this training, you will gain knowledge about the MLOps field and how it enables data teams to effectively manage and deliver high-scale projects. You will also develop a deeper understanding of how data scientists can efficiently collaborate on their experiments or modeling iterations and effectively track and monitor models once they are deployed in production.

Contact For more details