Data Science combines several disciplines, including data engineering, advanced statistics and probability, software programming, to derive knowledge and insight from structured and unstructured data.Through a blend of theoretical and practical sessions, this data science school will help the participant make and produce operational value and knowledge. The school is aimed at graduate students (PhD and M.Sc.) as well as data analysts and practitioners.

The registration fees are $200. The ACE-MSA will provide a limited number of grants. Priority will be given to female participants from West and Central African countries

Topics

1. Bid Data Science (Intro and IoT applications)
2. Data Engineering with NoSQL
3. Data Processing with Spark
4. Data Analytics and Machine Learning
5. Data Visualisation
6. Deep Learning with Tensorflow
7. Case studies

Main speakers

• Mathias Adankon, National Bank of Canada
• Carlyna Bondiombouy, Ysance, France
• Roch Glitho, Concrodia University, Canada
• José Quenum, NUST, Namibia
• Stéphane Senecal, Orange, France
• Habid Sidi, Rintio/Inria, France

Application

Applicants can apply at : https://goo.gl/forms/0Raglim18UM2HJAS2 before October 31^th, 2018

Organizing committee

• Leonard Todjihounde
• Joel Tossa
• Guy Degla
• Joel Hounsou
• Jules Dégila
• Hénoc Soude
• Pélagie Hounguè
• Jacques Houngbo