Discover Data Science

SUPER POWERS TO ACQUIRE

• 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.

LEARNING OBJECTIVES

• 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.

PREREQUISITES

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

TERMS OF PARTICIPATION

• 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.

TRAINING PROGRAM

• 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.

TRAINER

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