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Data Foundations and Machine Learning Applications (Level 2)
This comprehensive training course provides participants with the essential knowledge and practical skills to understand and apply data analytics and machine learning techniques. Participants will explore the fundamentals of data types, cleaning, and visualization before advancing to supervised and unsupervised learning models, including classification, regression, and clustering. The course also introduces deep learning concepts with convolutional neural networks for image analysis and recurrent neural networks for time series forecasting. Through guided coding sessions and a final hands-on forecasting project, participants will learn how to design, train, and evaluate models using Python. By the end of the course, participants will be able to transform data into actionable insights and develop simple AI-driven applications for business and industry use cases.
Open to graduates and working professionals from any discipline who wish to develop fundamental skills in data analytics and machine learning. Suitable for engineers, analysts, researchers, and educators seeking to apply data-driven methods in their respective fields. Participants are expected to have basic computer literacy and an interest in Artificial Intelligence or data science. This program is ideal for individuals aiming to enhance their technical capabilities, improve employability in AI-related roles, and contribute to Malaysia’s growing ecosystem of data and digital innovation.
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