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Villejuif Campus
151 Maxime Gorki Boulevard, 94800 Villejuif
Nice Campus
4 Bd Carabacel, 06000 Nice
This training course is eligible
Prerequisites
Good knowledge of mathematical tools (linear algebra, probability, statistics) and programming (Python).
Upcoming school years
January 31, February 1, 14, and 15, 2025
Format
1,950 Euros excl.
Location
Paris-Villejuif Campus
16
Martial HENNIQUE
Admissions Manager
Certification
This module is the second part of the "Data Science and Modeling" certificate. The objective is to learn about and use fundamental machine learning techniques and to assess the impact of such tools in a business.
This certification is valid for 5 years.
You can choose to prepare for the entire qualification gradually over time or have your additional skills recognized through the VAE (validation of acquired experience) process.
Info
Discover the program's assessment and teaching methods
Click here to find out more about the program's evaluation and teaching methods.
Performance indicators 2022 / 2023
Content updated on 19/11/2023
100%
Satisfaction rate
100%
Graduation rate
100%
Graduation rate
Objectives
This course will provide you with:
- In-depth knowledge of the fundamentals of machine learning and its business applications
- Technical understanding of the fundamentals of machine learning
- Hands-on experience with machine learning models and their applications to give your business a new dimension.
Contents
Module 1
Clustering and classification methods
Getting to grips with the fundamentals of machine learning using clustering (data partitioning) and classification algorithms.
The main concepts covered in this module are: the Scikit-learn library, clustering and classification methods.
Module 2
Regression methods and time series
Learn how to use regression and time series methods, and then apply them in business.
The main concepts covered in this module are: regression, time series, and data modeling.
Module 3
Business applications of time series
Experience with time series methods to solve a business problem using machine learning.
The main concepts covered in this module are: data modeling and time series using Scikit-learn.
