Economics - Management

UNIVERSITY DIPLOMA: BIG DATA, DATA SCIENCE AND RISK ANALYSIS IN PYTHON

  • 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:

  • Mrs Françoise SEYTE, Senior Lecturer
  • Mr Stéphane MUSSARD, Professor

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

 

Read more

Training benefits

Training is:

  • hybrid "face-to-face + distance zoom" type
  • Enables you to take part in internships (under certain conditions)
Read more

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.

Read more

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
Read more

Organization

Program

See information brochure

Read more

Admission

Access conditions

Target audience

Master 1 level

Read more

Recommended prerequisites

Econometrics Master I, Data analysis L3

Read more

And then

Professional integration

  • Banking risk analyst,
  • actuarial risks,
  • market risks,
  • Datascientist
Read more