• No products in the cart.



Discover Data Science

From formulating the right questions, to collecting the right data, analysing it and using it to make data driven decisions… understand in detail what Data Science is, how it is used around the world and what it takes to become a professional in this promising new field.

AUDIENCE: Anyone wishing to learn Data Science, to better understand the projects and / or to upgrade their skills.

AI for all: No coding required.


    Please plan to arrive a few minutes early.
    Please have a computer that you can install software on, with Chrome browser and a Gmail account.
    The next available session (date, time, method of face-to-face participation or webinar) is displayed under the blue button “take this training”.

    If no session is offered, contact us via the page: Contact.
    Beforehand, read the Internal regulations
    If you have any questions, please do not hesitate to contact us by email: info@iamondada.com


    • Be prepared for the turn in Data one step ahead of the others.
    • Become a force of proposal to transform the data of your company or startup into value.


    • Understand what Data Science is and how it brings value to businesses.
    • Know how to identify the skills necessary to become a Data Scientist or to structure a team of Data Scientists.
    • Know how to lead a Data Science project from A to Z, to understand, through a practical case: the steps, skills and resources needed.
    • Have a vision of data processing techniques, such as: data mining, Feature Engineering, overtraining and the sub-training of a Machine Learning model.
    • Take your first steps in Data Science on a practical case of natural language processing.


    This training is open to ALL! No need for prior knowledge.


    • This 7-hour course is offered mainly face-to-face in Paris, in the 15th arrondissement (unless otherwise specified), and sometimes in Webinar (to be accessed from the Chrome browser).
    • Face-to-face, training generally takes place on Saturdays from 9 a.m. to 6 p.m. with breaks, including one for lunch, which is not provided.
    • To ensure the active participation of everyone, the number of places is limited to 12 people per session.
    • The next available session (date, time, method of face-to-face participation or webinar) is displayed under the blue button “take this training”. If no session is offered, contact us via the page: Contact.
    • Please plan to arrive a few minutes early. Practical access information will be communicated to you on this page, after your registration.
    • For the practical case, equip yourself with:
      • a computer on which you can install software
      • the Chrome browser
      • a Gmail account, essential to access certain Google Cloud tools
    • Before registering, if you wish to discuss your training needs, please formulate them from form accessible from this link
    • For any request for information, especially for people with disabilities, please consult us via the page: Contact.


    • Introduction to Data Science
      • Introduction to Data Science.
      • How to structure a Data Science team.
      • The life cycle of a Data Science project.
      • How to get started in Data Science.
    • Presentation of use cases of Data Science
      • The regression.
      • Classification.
      • Clustering.
    • Practical case “real estate prices”

      Step into the shoes of a Data Scientist and “train” software to automatically predict the prices of real estate in Paris for a mission that will be entrusted to you by one world leaders in property management!

      • Formulation of the problem.
      • Data mining.
      • Training the AI ​​model.
      • Analysis of the results of the trained AI:
        • How is the error calculated?
        • Feature Engineering.
        • Introduction to natural language processing (NLP).
    • The Data Scientist Toolkit.
    • Self-assessment quiz of the knowledge acquired to obtain your training certificate.


    This training was designed and is led by Camilo Rodriguez : trainer in engineering schools, consultant and developer in Artificial Intelligence.

    Course Curriculum

    Student profile Unlimited
    Quiz Discover Data Science Unlimited
    Training material Discover Data Science 00:00:00

    Course Reviews


    • 5 stars0
    • 4 stars0
    • 3 stars0
    • 2 stars0
    • 1 stars0

    No Reviews found for this course.

    © 2020 IA cest mon dada - Tous droits réservés