Duration
1 year
Training Structure
School of Economics
Overview
This University Certificate (D.U.) was created for students who wish to deepen their knowledge of risk analysis and for professionals who need training in Python. The program covers: big data, data science, database management, and high-dimensional modeling for risk analysis, such as neural networks and machine learning. The courses are taught by data scientists and professionals specializing in big data.
This university degree program was created for students who wish to:
- Becoming a Data Scientist: For professionals who need training in Python for: big data, econometrics, statistics, computer science, databases, and risk analysis.
Responsible parties:
- Ms. Françoise SEYTE, Associate Professor
- Mr. Stéphane MUSSARD, Professor
- Initial and Continuing Education / Note: The training is a hybrid format combining "in-person and Zoom-based distance learning."
- Fields of study: Computer Science, Economics, Engineering, Statistics
To apply: https://ecandidat.umontpellier.fr/ecandidat/#!accueilView
The Benefits of the Training Program
The training is:
- a hybrid format combining "in-person and Zoom-based distance learning"
- Allows you to participate in an internship (subject to certain conditions)
Objectives
- Gain training in the use of Python libraries, including: pandas, sklearn, Keras, TensorFlow, and MongoDB.
- Supplement and enhance VBA/SQL training with Python NoSQL (MongoDB).
- Gain an introduction to object-oriented programming for developing discriminant neural networks needed for risk analysis.
- Gain training (both theoretical and practical) in analytics, fraud detection, and big data using Python, including the legal analysis of the use of large databases.
- Learn the basics of web scraping to extract information (for database enrichment) and analyze it using text mining and machine learning techniques.
Expertise and Skills
Master Python software to:
- big data (spreadsheets, pandas, NoSQL),
- econometrics (time series, data analysis, etc.),
- text mining (extracting knowledge from textual data),
- customer risk analysis (neural networks),
- risk of customer discrepancies,
- development of microservices and analytics,
- Python for Insurance.
- R for Actuarial Science
Organization
Program
See the information brochure
And then
Employment Placement
- Banking Risk Analyst,
- actuarial risks,
- market risks,
- Data Scientist