Published on October 14, 2026
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Updated on October 14, 2026
Dates
on the October 14, 2026
Want to master the handling of missing data or deepen your knowledge on the subject? Check out these two free, online courses that allow everyone to learn at their own pace, based on their needs and level of expertise.
As the volume of data collected continues to grow, the amount of missing data is also increasing. In light of this, EFELIA Côte d’Azur is offering two new MOOCs to help participants move beyond the instinct to simply remove missing data and learn how to conduct statistical analysis even when missing data is present.
For beginners in statistical
learning : Handling Missing Data: The Basics for Avoiding Errors (1 hour 30 minutes)
For experts in statistical learning who wish to explore specific methods for managing missing
values : Handling Missing Data: Challenges and Advanced Methods (2 hours)
These courses were developed with scientific input from Aude Sportisse (CNRS research fellow at the Grenoble Computer Science Laboratory and former EFELIA Côte d’Azur Junior Fellow) and Vincent Vandewalle (Professor of Applied Mathematics at Université Côte d’Azur and Deputy Scientific Director of EFELIA Côte d’Azur).
These online courses are now available on UniCA Online, Université Côte d’Azur’s e-learning platform dedicated to Lifelong Learning (FTLV).
Launched in September 2022 as part of a joint initiative by the first four French Interdisciplinary Institutes of Artificial Intelligence (3IA), the EFELIA Côte d’Azur (French School of Artificial Intelligence on the Côte d’Azur) is a consortium coordinated by Université Côte d’Azur and comprising the CNRS, EURECOM, Inria, Inserm, and Skema Business School.
Thanks to the impetus and financial support from the government—amounting to 8 million euros—as part of the “Skills and Jobs of the Future ” (AMI CMA) under the France 2030 plan, the EFELIA Côte d'Azur project is providing extensive AI training (from the third year of undergraduate studies through the eighth year of higher education, as well as continuing education for public and private entities) to address professional challenges.
One topic, two MOOCs, two levels to better meet your needs
For beginners in statisticallearning : Handling Missing Data: The Basics for Avoiding Errors (1 hour 30 minutes)
For experts in statistical learning who wish to explore specific methods for managing missing
values : Handling Missing Data: Challenges and Advanced Methods (2 hours)
These courses were developed with scientific input from Aude Sportisse (CNRS research fellow at the Grenoble Computer Science Laboratory and former EFELIA Côte d’Azur Junior Fellow) and Vincent Vandewalle (Professor of Applied Mathematics at Université Côte d’Azur and Deputy Scientific Director of EFELIA Côte d’Azur).
Sign up!
These online courses are now available on UniCA Online, Université Côte d’Azur’s e-learning platform dedicated to Lifelong Learning (FTLV).
About EFELIA Côte d’Azur
Launched in September 2022 as part of a joint initiative by the first four French Interdisciplinary Institutes of Artificial Intelligence (3IA), the EFELIA Côte d’Azur (French School of Artificial Intelligence on the Côte d’Azur) is a consortium coordinated by Université Côte d’Azur and comprising the CNRS, EURECOM, Inria, Inserm, and Skema Business School.Thanks to the impetus and financial support from the government—amounting to 8 million euros—as part of the “Skills and Jobs of the Future ” (AMI CMA) under the France 2030 plan, the EFELIA Côte d'Azur project is providing extensive AI training (from the third year of undergraduate studies through the eighth year of higher education, as well as continuing education for public and private entities) to address professional challenges.
