Teaching

Big Data

Master, SAAD, Université Nazi Boni, 2022

This course introduced students to Big Data : Big Data Analytics and Big Data Engineering. We covered:

  • The DBs Relational
  • Emergence and principles of NoSQL databases
  • Paradigms of NoSQL
  • Technologies of NoSQL engine
  • Distribution and parallelization of data processing
  • Big Data open source solutions
  • The big data ecosystem in the NoSQL movement

Data visualization

Master SAAD, Université Nazi Boni, 2022

I was in charge in 2022 respectively over 12 hours and 4 hours of tutorials and pratical work of Data visualization SAAD students at UNB. In the cours we covered :

  • Introduction to data visualization
  • Programming principles in D3.js
  • Types of visualisation
  • Data visualization frameworks and tools
  • Project and Practical work

Statistics and probability

Master, Université Virtuelle Du Burkina Faso, 2021

I was in charge of the cours and pratical work of the course probabilty and statistics over 24 hours. In this course we covered:

  • Introduction to probability theory and statistics
  • Generality on data analysis
  • Descriptive statistics and applications
  • Relationship between two variables
  • Parametric inferential statistics
  • Introduction to multivariate analysis
  • Practical work

Statistics Methods for Big Data

Master, Université Nazi Boni, 2021

This course introduces students to different methods for analysing high-dimensional data. I was in charge of the cours and pratical work. We studied :

  • Introduction
    • Problems of classical statistical methods
    • Methods of high-dimensional analysis
    • Big Data: high dimensional data
  • Descriptive methods
    • Dimension reduction
    • Factor analysis (pca, mca, afdm)
    • Clustering
  • Predictive methods
    • High dimensional regression
    • Classification methods
  • Modern high-dimensional statistical tools
    • Spark and Hadoop
    • Spark in R or Python
  • Practical work