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Data Analytics for Engineering (Synchronous and Asynchronous E-Learning)

Training Provider: SINGAPORE INSTITUTE OF TECHNOLOGY
Course Reference: TGS-2024045972
S$2,754
Original: S$9,180
Save S$6,426

About This Course

In recent years, the engineering landscape has witnessed a profound transformation driven by the proliferation of data and advancements in technology. From smart manufacturing systems optimizing production processes to intelligent infrastructure networks improving urban living, the integration of data analytics into engineering practices has become increasingly pervasive. Engineers are now tasked with harnessing the power of data to drive efficiency, innovation, and sustainability in diverse domains such as aerospace, energy, transportation, and beyond. As industries embrace the era of Industry 4.0 and beyond, the ability to extract actionable insights from data has emerged as a critical skill for engineering professionals.

What You'll Learn

Upon successful completion of this Micro-Credential, learners should be able to utilize python for data processing and analytics for engineering applications, employ appropriate statistical analysis and visualization approaches to deliver insights to engineering data, and utilize machine learning models to perform supervised and unsupervised learning.

Entry Requirements

Students are required to have knowledge of programming and libraries, and Engineering Mathematics

Course Details

Duration 129 hours
Language English
Training Commitment Not specified
Total Enrolled 17 students
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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