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Data Science and Modeling

Data Science and Modeling

 

CERTIFICATION

This training corresponds to a block of competences whose title reads "Artificial Intelligence Project Manager", currently under instruction at France Compétences. It will lead to a certification recognized and registered in the Répertoire national des certifications professionnelles (RNCP) and will therefore be eligible for the CPF.

This certification can be capitalized on over 5 years. You can choose to prepare the entire title progressively over time or have your complementary skills recognized by the VAE.

 

TARGET AUDIENCE AND PRESENTATION

This program is designed for professionals in the field of data science and computer science, or for any scientist and any technical or managerial profile with prior knowledge in linear algebra, probability, statistics and programming (Python), and who wish to acquire operational skills in data science and machine learning. This program teaches how to ethically and responsibly deploy artificial intelligence solutions. This program also aims to strengthen and foster collaborations between scientific teams and business departments.

The survey published in "The Human Impact of Data Literacy" of 2020 [1] reveals that 74% of employees surveyed (9000 worldwide) feel overwhelmed by tasks involving their company's data. As a result, interest and productivity drop: 14% of them even prefer to avoid this kind of work altogether.

One of the major challenges of a company that wants to enhance its data is to homogenize " dataliteracy " within it. To do this, managers must know the potential of their data, its ethical dimension, and know how to support their employees in the development of their data knowledge (adoption of new technologies and software).

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

 

OBJECTIVES

This training will allow you to acquire:

  • The skills to implement data solutions, strategic for your company.
  • Concrete experience with machine learning models and their applications to give a new dimension to your company.
  • The acquisition of a critical look at today's issues related to artificial intelligence, and in particular its ethical, legal and social stakes.

 

CONTENT

  • icone équipe

    Module 1: Data-driven Decision Making

    Take control of data visualization, exploratory data analysis, then exploit the power of data and its role in corporate decision-making.

    The main concepts covered in this module are: decision making using data, data cleansing, data coding and data visualization using Python.

  • icone équipe

    Module 2: Classical machine learning algorithms

    To learn to know and use the fundamental techniques of machine learning, and to know how to gauge the impact of such tools in a company.

    The main concepts covered in this module are: time series, clustering (data partitioning), and regression methods using scikit-learn.

  • icone équipe

    Module 3: Ethics, bias and limitations of the learning machine

    Explore the main challenges of machine learning, and the ethical and legal considerations of data use in the business world.

    The main concepts covered in this module are: model evaluation, performance analysis, overlearning vs. underlearning, data augmentation, ensemble methods, and the ethical, legal and social issues of data use.

 

 

 

 

TRAINERS / TEACHERS

ammar

Doreid Ammar

Expertise : Data science

Professor in Data science and Computer science | Academic Director

See his profile

de france

Ysens de France

Expertise : AI Law

Associate Professor of AI Law | Director of Foresight at the Sapiens Institute

See her profile

 

goffi

Emmanuel R. Goffi

Expertise : AI Ethics

Associate Professor of AI Ethics and Director of International Relations | Director of the Ethics & IA Observatory - Sapiens Institute

See his profile

hadjur

Hugo Hadjur

Expertise : Data science

Assistant Professor in IA & Data Science | PhD student at ENS Lyon and aivancity

See his profile

mathivet

Virginie Mathivet

Expertise : AI & Deep learning

Expert AI & Deep learning teacher | Director of R&D, Corporate Teamwork

See her profile

Szabados

Levente Szabados

Expertise : Data science

Visiting professor in Data science | Lecturer at Frankfurt school of finance & management

See his profile

qualiopi

 

 

Data Science and Modeling

  • access

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

  • diplome

    Location Boulogne BIllancourt

  • calendrier

    Duration of the training 12 days

  • calendrier

    Dates January 7, 8, 21 & 22, 2022 - February 4, 5, 18 & 19, 2022 and march 4, 5, 18 & 19, 2022.

  • calendrier

    Awards 5 600 € excl. tax