Case studies
TRAINING: Introduction to data science
Back to case studies
Data science & AI
Various
Purposes

Understanding the key principles of data science.

 

Training Content

Section 1: The History of Analytics

  • The evolution of data storage & processing
  • From brick counting to data management

 

Section 2: From data management to artificial intelligence

  • Key concepts of data management: data collecting & modelling
  • The challenges of data visualisation tools
  • Advanced analytics & success factors
  • Machine Learning & artifical intelligence

This section is illustrated by various practical cases: Chatbot, Attribution & contribution, Prediction & predictive maintenance, Pattern identification, Neuronal networks

 

Section 3: Benchmarking of data visualisation tools

 

Section 4: Focus on functional architectures and enterprise organizations around data science

 

Method

Our methods focus on practical feedbacks (market insights and illustrated use cases), organized around theoretical contributions.

 

Keynotes and theoretical contributions

Objective: Sharing common vocabulary and general principles, on business and technical points

 

Illustrated use cases

Objective: involving participants by projecting themselves into their daily lives, as employees or consumers

 

Market insights

Objective: Providing insights about the key players and figures in the ecosystem

Participants

Digital & Technical Departments

 

Up to 6 participants

 

Format

3 hours

Contact

You can reach us by telephone on +33 1 88 32 81 47,
by email at bonjour@m13h.com or by completing the contact form.

You're also welcome to visit us at 3 rue d'Uz├Ęs, 75002 Paris for a coffee.
* Mandatory fields