Data Science and Modeling Program

This training course is eligible

www.moncompteformation.gouv.fr

Prerequisites

Good knowledge of mathematical tools (linear algebra, probability, statistics) and programming (Python).

Upcoming school years

January 9 and 10, January 23 and 24, February 6 and 7, February 20 and 21, March 6 and 7, and March 20 and 21, 2026

Format

5,600 Euros ex VAT (eligible for CPF and Pôle Emploi funding)

Location

Paris-Villejuif Campus

Certification

This training course allows for the validation of the RNCP38584BC03 skill set - Implementing an automated learning solution (Machine and Deep Learning) - and the professional certification "Project Manager in Artificial Intelligence Solution Development." level 7 issued by aivancity and registered with the RNCP under number 38584 (on 09-02-2024).

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

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Performance indicators 2022 / 2023

Content updated on 19/11/2023

100%

Satisfaction rate

100%

Graduation rate

100%

Graduation rate

Target audience and presentation

This program is designed for professionals in the fields of data science and computer science, or for any scientist or technical or managerial profile with prior knowledge of linear algebra, probability, statistics, and programming (Python), who wish to acquire operational skills in data science and machine learning.

This program teaches participants how to deploy artificial intelligence solutions in an ethical and responsible manner. It also aims to strengthen and promote collaboration between scientific teams and business departments.

The survey published in "The Human Impact of Data Literacy" in 2020 [1] reveals that 74% of employees surveyed (9,000 worldwide) feel overwhelmed when faced with tasks involving their company's data. This results in a decline in interest and productivity: 14% of them even prefer to avoid this type of work altogether.

One of the major challenges for a company that wants to leverage its data is to standardize data literacy within the organization. To do this, managers must understand the potential of their data, its ethical implications, and know how to support their employees in developing their data skills (adoption of new technologies and software).

[1] The Data Literacy Project, "The Human Impact of Data Literacy," 2020 https://www.accenture.com/_acnmedia/PDF-115/Accenture-Human-Impact-Data-Literacy-Latest.pdf (Accenture)

Objectives

This training will enable you to acquire:

The skills to implement data solutions that are strategic for your business.
Hands-on experience with machine learning models and their applications to give your business a new dimension.
A critical look at today's challenges related to artificial intelligence, particularly its ethical, legal, and social implications.

Contents

Module 1

Data-driven decision-making

Getting to grips with data visualization, exploratory data analysis, then harnessing the power of data and its role in corporate decision-making.
The main concepts covered in this module are: data-driven decision making, data cleaning, data coding, and data visualization using Python.

Module 2

Classic machine learning algorithms

Learn about and use the fundamental techniques of machine learning, and know how to gauge the impact of such tools in a business.
The main concepts covered in this module are: time series, clustering (data partitioning), and regression methods using scikit-learn.

Module 3

Ethics, biases and limitations of machine learning 

Explore the main challenges of machine learning and the ethical and legal considerations of using data in the business world.
The main concepts covered in this module are: model evaluation, performance analysis, overfitting vs. underfitting, data augmentation, ensemble methods, and the ethical, legal, and social issues surrounding data use.