Data Academy

Get your team data bilingual and data ready

To support you in your digital transformation, our Data Academy offers training courses to help your teams gain skills in data and new technologies through:
– tailored training sessions focussed on the degree of knowledge and specialisation of your teams 
– training sessions that can be adapted to three types of audience
– a team of dedicated and experienced trainers  

Our audience

  1. Beginners, far from data issues : awareness of data issues and the company’s digital strategy
  2. Experienced users : understanding of the challenges and tools to improve their skills and performance
  3. Data and AI Experts : focus on advanced technical skills

Our main courses

Soft Skills

#1- Data Visualisation with Spotfire
  • Understand the fundamentals of data visualisation
  • Become familiar with the Spotfire tool
  • Master best practices to communicate effectively on data
#2- Driving Innovative Projects
  • Master the fundamental principles that bring businesses and IT teams around innovative projects
  • Understand the resistance to change and set up a strategy
#3- Data Culture and Data Governance
  • Understand the fundamental stakes of a data culture, essential to any successful digital transformation
  • Understand the challenges of data governance and how to implement it

Data Boot Camp

#4- Introduction to Data Science and Machine Learning
  • Understand the challenges of Machine Learning
  • Understand the mathematical and algorithmic foundations of supervised and unsupervised learning 
#5- Introduction to Deep Learning
  • Understand Deep Learning algorithms
  • Acquire the basics to develop solutions integrating technologies such as theoretical aspects of deep learning, initiation with TensorFlow
#6- Quantitative Asset Management
  • Understand the different techniques for weighting portfolios and indices

Technologies Focus

#7- Introduction to Python for Data Science
  • Presentation and implementation of the main algorithms: logistic regression, linear regression, random forest, boosting
  • Gradually move from general Python programming to Python programming for Data Science
#8- Data Architecture for Data Science
  • Set up a backup and business continuity plan when putting a Big Data system into production
  • Ensure the daily operation of the business continuity of a Big Data system
#9- Data Security and Business Continuity
  • Understand the challenges of securing Big Data architectures
  • Identify the tools to be implemented
  • Take security into account and make the necessary changes to secure the architecture

Practical Details

Methodology

For each training course, we meet with HR and Business Managers to:
– Identify the objective of the course
– Analyse the needs and level of the audience
– Identify the best suited format for the group 
– Plan and organise the necessary logistics and tools 
Our trainers contact the participants before each training session

Timing & Format

– Half-day sessions up to two full days
– Face-to-face or remote sessions
– Inter or intra company sessions
– Sessions that can be given in French and English

Content

Each session includes:
– Case studies to work in group
– Practical cases explained by the trainer
– Knowledge assessment at the end of the training
– Series of presentations and exercises looked at in class
– Evaluation Form questionnaire

Pricing

 Intra-company training sessions : competitive prices for all training (travel, meals and accommodation included)