Translated by Google
to give students deep knowledge of data science tools and techniques, including machine learning and AI, and the statistical frameworks unde
From 52 C$ /h
demand for highly trained research scientists to design and implement data analysis pipelines for the increasingly large and complex data sets produced by the next generation of scientific experiments
societal demand for data science and data analysis skills in the industry, especially when applied in strategic domains (science, health) and economic areas (finance, e-commerce)
need to train postgraduate students with a deep understanding of data science techniques and algorithm building for modern computer architectures and utilizing industry best practices for software development
importance of open science in research, specifically reproducibility of scientific results and the creation of public data analytic codes.
societal demand for data science and data analysis skills in the industry, especially when applied in strategic domains (science, health) and economic areas (finance, e-commerce)
need to train postgraduate students with a deep understanding of data science techniques and algorithm building for modern computer architectures and utilizing industry best practices for software development
importance of open science in research, specifically reproducibility of scientific results and the creation of public data analytic codes.
Extra information
1. Technical and methodological skills necessary to undertake data-intensive research in a chosen scientific area.
2. The capacity to assess the different machine learning and data science methodologies used in scientific analysis.
3. Skills in software development following best practice and tools for open science.
4. Collaborative skills, through working with other students on the practical exercises and lecture projects.
5. The ability to communicate their work clearly, both orally and in writing.
6. Broad experience in the application of Statistical and Machine learning techniques to scientific data.
2. The capacity to assess the different machine learning and data science methodologies used in scientific analysis.
3. Skills in software development following best practice and tools for open science.
4. Collaborative skills, through working with other students on the practical exercises and lecture projects.
5. The ability to communicate their work clearly, both orally and in writing.
6. Broad experience in the application of Statistical and Machine learning techniques to scientific data.
Location
At student's location :
- Around Casablanca, Morocco
About Me
Ayant l'expérience professionnelle de management pédagogique et d'administration pédagogique qui me permettraient de piloter des projets pédagogiques de planification et de méthodologie de travail sur la gestion des compétences visées et des grilles d'évaluation d'audit et de diagnostique psychologique pédagogique des devoirs surveillés et des examens et de développent personnel selon une méthodologie de travail pertinente de préparation des concours en France (Efm, Tcf..)
Education
Master Biologie et Santé
Licence professionnelle en management qualité environnement sécurité
Tcf niveau B1
ALC begging 6
Certification Injaz al Maghreb
Certification Brio Canada
Licence professionnelle en management qualité environnement sécurité
Tcf niveau B1
ALC begging 6
Certification Injaz al Maghreb
Certification Brio Canada
Experience / Qualifications
Lycée de prairie CNED
Lycée de Georges Clémenceau
Lycée Ennasr
Lycée d'agrégation en France
École al hakim
Groupe apprentus
Lycée de Georges Clémenceau
Lycée Ennasr
Lycée d'agrégation en France
École al hakim
Groupe apprentus
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
120 minutes
The class is taught in
English
French
Skills
Availability of a typical week
(GMT -04:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Thanks to our enriching pedagogical and professional training in participatory pedagogy through educational projects, we rely in our working methodology on mastering skills and knowledge through diagnostic and sumative assessment of the student using practical work and extracurricular projects and preparation for certificates and final exams. Having very satisfactory results in the subject is a most effective educational objective in our expertise.
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