Duration
1 year
Training structure
Faculty of Economics
Presentation
This University Diploma (D.U.) has been created for students wishing to deepen their knowledge of risk analysis and professionals who need training in Python software. The course covers: big data, data science, database manipulation, high-dimensional modeling for risk analysis such as neural networks and machine learning. Courses are taught by Datascientists and professional Big Data specialists.
This university diploma has been created for students wishing to :
- Become a datascientist, for professionals who need training in Python software, for: bigdata, econometrics, statistics, IT, databases, risk analysis.
Managers:
Type of training :
- Initial and continuing training / A savoir : The training is a hybrid "face-to-face + distance zoom" type.
- Teaching areas: Computer science, economics, engineering sciences, statistics
- Type of diploma: DU (University Diploma)
To apply: https: //ecandidat.umontpellier.fr/ecandidat/#!homeView
Training benefits
Training is:
- hybrid "face-to-face + distance zoom" type
- Enables you to take part in internships (under certain conditions)
Objectives
- Learn how to use python libraries, including pandas, sklearn, keras, tensorflow and mongodb.
- Complement and enrich VBA/SQL training with python NoSQL (Mongodb).
- Get an introduction to object programming for the programming of discriminative neural networks needed for risk analysis.
- Acquire training (theoretical and practical) in analytics, fraud detection and big data in Python, including legal analysis of the use of massive databases.
- Acquire the basics of webscraping to extract information (database enrichment) and analyze it using textmining and machine learning techniques.
Know-how and skills
Master python software to :
- massive data (spreadsheets, pandas, NoSQL),
- econometrics (time series, data analysis, etc.),
- textmining (extracting knowledge from textual data),
- customer risk analysis (neural networks),
- risk of customer anomalies,
- creation of microservices and analytics,
- python for insurance.
- R for actuaries
Organization
Program
See information brochure
Admission
Admission requirements
How to apply : University Diploma in Economics
Target audience
Master 1 level
Recommended prerequisites
Econometrics Master I, Data analysis L3
And then
Professional integration
- Banking risk analyst,
- actuarial risks,
- market risks,
- Datascientist