The workflow of a Data Science project

SUPER POWER TO ACQUIRE

Understand the life cycle of a Data Science project.

LEARNING OBJECTIVES

• Understand what Data Science is and the key stages of a project.
• Discover best practices, including tools and errors to avoid, to successfully transform data into information.

PREREQUISITES

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

TERMS OF PARTICIPATION

• This 2-hour course is offered face-to-face in Paris, in the 15th arrondissement (unless otherwise specified), and / or in Webinar (to be accessed from the Chrome browser).
• 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.
• You do not need any specific material for this training, but to take the Quiz and obtain your Certificate, you will need a mobile phone or a computer with preferably the Chrome browser .
• 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

• What is Data Science?
• The life cycle of a Data Science project and, for each step, the best practices and tools.
• The most frequent mistakes to anticipate.
• Self-assessment quiz of the knowledge acquired to obtain your training certificate.

TRAINER

This training was designed and is led by Hamed Zitoun : Data Scientist and Machine Learning Engineer.