LePont

The Data Analyst training gives you the keys to become an expert in data analysis. This 100% online training is offered in 2 formats: the BootCamp format in 3 months or the part-time format over 6 months (evenings and weekends). The Data Analyst training is resolutely practical with simulations that allow learners to confront the problems of everyday professional life.

Course titles and descriptions of courses being offered

Prepare and structure data to meet a business need :
* Analysis of functional and technical business needs
* Design and creation of a database structure
* Import and preparation of data

Visualize and enhance business data :
* Exploitation of data (data visualization)
* Valuation of data (data storytelling)

Define a statistical model to meet a business need :
* Performing exploratory data analysis
* Perform predictive analysis using supervised and unsupervised learning models (regression, classification, random forest, clustering)

Coaching & soft skills :
3 Soft Skills workshops: support for the development of your professional project

Locations where the courses are being taught

In e-learning and synchronous (you are in a virtual classroom with a real teacher).

Tuition cost
4 500€ HT (or 5 400€ TTC)
Application fee : 90€.
Duration of courses (how many weeks)

We have 2 course formats. The first one is called "Bootcamp" where the courses are spread over 3 months and the second one is called "part-time" and the courses are spread over 6 months (evenings and weekends)

How many hours a week are spent in the classroom

400h including 15 à 20h en e-learning

Approximate hours a week a student would expect to study

varies between 5 and 15 hours per week and depends on the level of the student.

The Data Engineer training course gives you the keys to become an expert in data processing in the world of Big Data. The course is composed of 4 blocks of skills spread over 700 hours. The Data Engineer course is resolutely practical, with simulations that allow learners to confront the problems of daily professional life.

Course titles and descriptions of courses being offered

Define the data infrastructure that meets a business functional need:
* Analysis of the client's needs and issues
* Recommendations of the technical Data architecture to be implemented
* Definition of the development environment with the D team

Create functional blocks for the implementation of the Big Data technical architecture:

* Recovery of raw data from different sources
* Processing & cleaning of the recovered data
* Storage and organization of the data

Set up the technical infrastructure of the data processing chain :
* Automation of processing for industrialization
* Monitoring and maintenance of the Big Data architecture
* Management of the security and confidentiality of the data

Putting into production and deploying the results of analysis that meet the functional business need:
* Implementation of an automatic generation system of deliverables via an integration tool
* Monitoring data quality in real time
* Monitoring of the BigData infrastructure

Locations where the courses are being taught:

In e-learning and synchronous (you are in a virtual classroom with a real teacher).

Tuition cost

Price on request

Duration of courses (how many weeks)

5 months

Approximate hours a week a student would expect to study
Depends on the student's skills and level