CODE: EN23
DURATION: 5 Days/10 Days
CERTIFICATIONS: CPD
This course introduces computer engineers to the fundamentals and practical applications of data analytics and machine learning, focusing on extracting insights from complex datasets, building predictive models, and deploying intelligent systems. The curriculum emphasizes hands-on experience with Python, R, and popular ML frameworks, covering end-to-end workflows from data collection and preprocessing to model evaluation, deployment, and integration into engineering solutions. Participants will gain hands-on experience with real-world data, leveraging Python, R, and popular ML frameworks to solve engineering and technology challenges.
This course is available in the following formats:
Virtual
Classroom
Request this course in a different delivery format.
Course Outcomes
Delegates will gain the knowledge and skills to:
Understand key concepts in data preprocessing, exploration, and visualization.
Develop predictive and classification models using machine learning algorithms.
Apply model evaluation metrics and validation techniques for accurate predictions.
Deploy ML models in practical engineering applications.
Integrate data-driven insights into system design and optimization.
Gain hands-on experience with Python, R, and ML frameworks.
At the end of this course, you’ll understand:
This course is ideal for computer engineers, software developers, data scientists, system architects, and IT professionals seeking to apply data analytics and machine learning in engineering projects. It also suits other professionals who are responsible for building AI-powered applications, predictive systems, or data-driven solutions.
✓ Modern facilities
✓ Course materials and certificate
✓ Accredited international trainers
✓ Training materials and workbook
✓ Access to online resources
