Industrial Engineering Courses

Road Traffic Safety in Automotive Engineering

Learn the fundamentals of passive and active safety in automotive engineering

• edX
• 9 weeks, 4-10 hours/week
• Self-Paced
• Free Online Course (Audit)

DeepLearning.AI;  Amazon Web Services

Introduction to Data Engineering

482 ratings at Coursera

Explore the data engineering lifecycle, from data generation to serving, and build an end-to-end system. Gain practical skills in gathering requirements, choosing tools, and applying data architecture principles.

• Coursera
• 17 hours 36 minutes
• Self-Paced
• Paid Course

Business Process Engineering Part 1

Explore business process engineering fundamentals, covering process mapping, stakeholder analysis, design thinking, and agile techniques to optimize workflows and drive continuous improvement in digital-age organizations.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Business Process Engineering Part 2

Master business process engineering with agile techniques, data visualization, and lean methodologies to optimize workflows, drive continuous improvement, and integrate complex information systems into core operations.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Web Design and User Experience Engineering: Assessment

Demonstrate your Web Design and UX Engineering knowledge through a proctored assessment, submit completion certificates, and learn how to enroll at Northeastern University via Performance Based Admission.

• Coursera
• 27 minutes
• Self-Paced
• Paid Course

Engineering Project Management Part 1

Explore project management fundamentals covering planning, budgeting, risk management, and team leadership through systems development lifecycle framework with practical tools.

• Coursera
• 11 hours 51 minutes
• Self-Paced
• Paid Course

Engineering Project Management Part 2

Master advanced project management techniques including network scheduling, resource planning, earned value management, and project control mechanisms for successful engineering projects.

• Coursera
• 13 hours 56 minutes
• Self-Paced
• Paid Course

Industrial Optimization: Models & Linear Programming

Explore deterministic models for industrial operations, focusing on linear programming formulation and solution techniques using software tools and algorithms.

• Coursera
• 11 hours 27 minutes
• Self-Paced
• Paid Course

Data Analytics Engineering: Probability & Techniques

Explore data analytics fundamentals, from Python basics to advanced techniques. Learn data structures, wrangling, and exploratory analysis to extract meaningful insights from real-world datasets.

• Coursera
• 19 hours 23 minutes
• Self-Paced
• Paid Course

Practical Engineering Data Mining: Techniques and Uses

Master data mining fundamentals and techniques through hands-on engineering applications, from preprocessing to clustering, while implementing real-world case studies across manufacturing, healthcare, and business sectors.

• Coursera
• 11 hours 7 minutes
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 1

Discover foundational statistics and probability concepts including variables, distributions, and data analysis techniques for engineering applications.

• Coursera
• 22 hours 22 minutes
• Self-Paced
• Paid Course

Application Engineering and Development Part 1

Master Java programming fundamentals and object-oriented design principles through hands-on GUI development, inheritance, polymorphism, and real-world university system modeling.

• Coursera
• 1 day 4 hours 36 minutes
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• Self-Paced
• Paid Course

Statistical Learning for Engineering Part 1

Explore supervised and unsupervised machine learning algorithms, from linear regression to SVMs, with hands-on Python implementation for real-world engineering applications.

• Coursera
• 1 day 11 hours 38 minutes
• Self-Paced
• Paid Course

Statistical Learning for Engineering Part 2

Explore advanced machine learning algorithms including neural networks, clustering, dimensionality reduction, and reinforcement learning with hands-on Python implementation.

• Coursera
• 1 day 46 minutes
• Self-Paced
• Paid Course