Enrol in Applied Machine Learning programme to earn your certificate from NUS School of Computing. Apply today | Accepting Applications
Machine Learning and Data Analytics using Python
In an increasingly data-driven world, data is becoming integral and embedded in every organisational decision, interaction, and process. Machine Learning and Data Analytics are giving rise to innovative business models and products, and presents immense potential to bring transformative changes across business sectors and industries.
Programme Details |
6-8 hours per week |
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We are pleased to launch the Machine Learning and Data Analytics using Python programme offered by National University of Singapore’s School of Computing, a cutting-edge academic curriculum designed to meet the needs and priorities of organisations operating within this digital economy. This 30-week high-impact programme is curated with a strong emphasis on real-world relevance to meet rapidly evolving industry needs and trends. The Programme’s holistic and integrative design will provide you with strong conceptual knowledge and applications of Machine Learning and Data Analytics and strong market-ready coding skills and practical applications of Phyton Programming to deploy solutions. The Programme brings world-class faculty from National University of Singapore’s School of Computing and the global classroom to you. We invite you to experience the guidance of our faculty with extensive knowledge and experience, and network with high-achieving working professionals from the Machine Learning industry. The self-paced multi-modular learning journey accommodates your learning without disruptions to your responsibilities. Apply now, and emerge equipped with practical skills, actionable strategies, and best practices Machine Learning and Data Analytics using Python! |
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NUS School of Computing is collaborating with online education provider Emeritus to offer a portfolio of high-impact online programmes. Working with Emeritus gives NUS School of Computing the advantage of broadening its access beyond their on-campus offerings in a collaborative and engaging format that stays true to the quality of NUS School of Computing. Emeritus’ approach to learning is based on a cohort-based design to maximise peer-to-peer sharing and includes video lectures with world-class faculty and hands-on project-based learning. Emeritus Institute of Management | Committee for Private Education Registration Number 201510637C | Period: 29 March 2022 to 28 March 2026. |