Data Science and Modeling
Program start date | Application deadline |
2023-01-06 | - |
2023-01-07 | - |
2023-01-20 | - |
2023-01-21 | - |
2023-02-03 | - |
2023-02-04 | - |
2023-02-17 | - |
2023-02-18 | - |
2023-03-03 | - |
2023-03-04 | - |
2023-03-17 | - |
2023-03-18 | - |
Program Overview
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.
Performance indicators 2022/2023
- Satisfaction rate: 100%
- Diploma presentation rate: 100%
- Diploma success rate: 100%
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.
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
- 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.
- 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.
- 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
- Doreid Ammar Expertise: Data science Professor in Data science and Computer science | Academic Director
- Virginie Mathivet Expertise: AI & Deep learning Expert AI & Deep learning teacher | Director of R&D, Corporate Teamwork
- Levente Szabados Expertise: Data science Visiting professor in Data science | Lecturer at Frankfurt school of finance & management
Data Science and Modeling
- Prerequisite Good knowledge of mathematical tools (linear algebra, probability, statistics) and programming (Python).
- Location Cachan
- Duration of the training 12 days
- Awards 5 600 € excl. tax
Program Outline
Degree Overview:
Data Science and Modeling
Overview:
This certification 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.
Objectives:
- Acquire skills to implement data solutions, strategic for the company.
- Gain concrete experience with machine learning models and their applications to give a new dimension to the company.
- Acquire a critical look at today's issues related to artificial intelligence, and in particular its ethical, legal and social stakes.
Outline:
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.
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.
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.
Teaching:
Faculty:
- Doreid Ammar, Professor in Data science and Computer science | Academic Director
- Ysens de France, Associate Professor of AI Law | Director of Foresight at the Sapiens Institute
- Emmanuel R. Goffi, Associate Professor of AI Ethics and Director of International Relations | Director of the Ethics & IA Observatory - Sapiens Institute
- Hugo Hadjur, Assistant Professor in IA & Data Science | PhD student at ENS Lyon and aivancity
- Virginie Mathivet, Expert AI & Deep learning teacher | Director of R&D, Corporate Teamwork
- Levente Szabados, Visiting professor in Data science | Lecturer at Frankfurt school of finance & management
Overview:
aivancity School for Technology, Business & Society, Paris - Cachan is a Grande Ecole specializing in Artificial Intelligence (AI) and Data Science. It is a relatively new institution, founded in 2020, and has quickly gained recognition for its innovative approach to education.
Services Offered:
aivancity offers a range of services to its students, including:
Academic Programs:
aivancity provides a variety of academic programs, including a Grande Ecole program, Bachelor of Science in Applied AI, and various Master of Science programs in Data Engineering, Data Management, and AI for Business.Executive Education:
aivancity offers professional development programs for individuals and businesses, including certificates, short programs, and customized programs.International Opportunities:
aivancity provides opportunities for international study and exchange programs.Financial Aid:
aivancity offers scholarships and financial aid to eligible students.Career Services:
aivancity provides career guidance and support to help students find jobs in the AI and data science fields.Student Life and Campus Experience:
Key Reasons to Study There:
State-Recognized and Accredited:
aivancity is recognized by the French Ministry of Higher Education and Research, ensuring the quality of its programs.Hybrid Approach:
aivancity's curriculum combines AI, business management, and ethics, providing a well-rounded education for students.Industry Partnerships:
aivancity has strong partnerships with leading companies in the AI and data science fields, providing students with valuable industry connections and opportunities.Focus on Employability:
aivancity's programs are designed to prepare students for successful careers in the AI and data science fields.Innovative Pedagogy:
aivancity utilizes innovative teaching methods, including hybrid learning, project-based learning, and real-world case studies.Academic Programs:
aivancity offers a variety of academic programs, including:
Grande Ecole Program (MSc Artificial Intelligence & Data Science):
This program provides a comprehensive education in AI and data science, with a focus on both technical skills and business acumen.Bachelor of Science in Applied AI:
This program prepares students for careers as AI developers.Master of Science in Data Engineering & Cloud Computing:
This program focuses on the technical aspects of data engineering and cloud computing.Master of Science in Data Management:
This program focuses on the management and analysis of large datasets.Master of Science in Artificial Intelligence for Business:
This program prepares students for careers in business applications of AI.Other:
aivancity is committed to ethical AI development and has a strong focus on social responsibility. The institution is also actively involved in research and innovation in the field of AI.