{"id":102937,"date":"2026-05-02T11:13:21","date_gmt":"2026-05-02T10:13:21","guid":{"rendered":"https:\/\/univga.org\/courses\/certificat-professionnel-en-data-science-avec-scikit-learn\/"},"modified":"2026-05-02T11:13:21","modified_gmt":"2026-05-02T10:13:21","slug":"professional-certificate-in-data-science-with-scikit-learn","status":"publish","type":"courses","link":"https:\/\/univga.org\/en\/courses\/certificat-professionnel-en-data-science-avec-scikit-learn\/","title":{"rendered":"Professional Certificate in Data Science with scikit-learn"},"content":{"rendered":"<p>Artificial Intelligence is catalyzing global and African digital transformation: large-scale automation, data-driven decisions, new value chains, and imperatives for <strong>digital sovereignty<\/strong>. At the heart of this revolution, the <strong>Supervised and unsupervised machine learning<\/strong> enables predicting, classifying, segmenting, and reducing data complexity to create a tangible competitive advantage. From CEMAC banks to telecom operators, from fintechs to agritechs and healthtechs, organizations have an urgent need for talent capable of mastering modeling, industrializing workflows, and ensuring compliance and ethics. This UNIVGA certificate meets this requirement by offering a concrete and immediately deployable specialization in companies, based on international standards and adapted to African realities (languages, infrastructure, costs, regulations).<\/p>\n<p>The UNIVGA method is <strong>100% online, asynchronous<\/strong>, with 24\/7 access and educational support. In 3 months (5\u20138 hours\/week), you'll complete practical projects based on real African cases: telecom churn, credit scoring, fraud detection, and patient\/farmer segmentation. You'll learn with <strong>Jupyter notebooks<\/strong>, concrete datasets and professional tools: <strong>scikit-learn<\/strong> pipelines, cross-validation, <strong>MLflow<\/strong> (tracking, registry), good practices for reproducibility and evaluation. The program is aligned with the reference frameworks <strong>AWS ML Specialty \/ Google ML Engineer<\/strong> and integrates the requirements of <strong>Compliance and governance<\/strong> (EU AI Act, ISO\/IEC 42001, OWASP LLM, NIST AI RMF) to ensure direct applicability in companies, startups, ministries, or research organizations, from proof of concept to responsible deployment.<\/p>\n<p>Ultimately, you will be able to aim for roles such as <strong>Data Scientist<\/strong>, <strong>ML Engineer<\/strong>, <strong>AI Engineer<\/strong>, <strong>MLOps Engineer<\/strong>, <strong>AI Architect<\/strong>, even <strong>Chief AI Officer<\/strong>, and contribute to the functions of\u2019<strong>ethics<\/strong> and of <strong>security<\/strong> models (AI Ethics Officer, AI Security Specialist). The <strong>Professional Certificate UNIVGA<\/strong> is designed to be recognized by employers in key sectors: banking, insurance, telecommunications, fintech, agritech, healthtech, GovTech, consulting firms, as well as large administrations and regulators in CEMAC\/CEEAC. It highlights your ability to deliver reliable, measurable, and compliant machine learning solutions that align with African and international strategic and regulatory challenges.<\/p>","protected":false},"excerpt":{"rendered":"<p>Get up and running with machine learning using scikit-learn: regression, classification, clustering, and dimensionality reduction. UNIVGA certificate aligned with the AWS ML Specialty and Google ML Engineer certifications, 100% online, to accelerate your data\/AI career and your enterprise deployments.<\/p>","protected":false},"author":1,"featured_media":0,"template":"","course-category":[1943],"course-tag":[],"class_list":["post-102937","courses","type-courses","status-publish","hentry","course-category-departement-intelligence-artificielle-data"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.9 (Yoast SEO v27.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Certificat Professionnel en Data Science avec scikit-learn - UNIVGA<\/title>\n<meta name=\"description\" content=\"Devenez op\u00e9rationnel en machine learning avec scikit-learn: r\u00e9gression, classification, clustering et r\u00e9duction de dimension. 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