Modeling

Filter Courses within "Modeling" (Click to filter)
Data Science: Capstone (edX) EdX
HarvardX,Harvard University

Data Science: Capstone (edX)

Elevate your career in data science by completing the Professional Certificate Program in Data Science and culminate it with our Data Science: Capstone project on edX. This final project will challenge you to apply your knowledge of data visualization, probability, inference, modeling, data wrangling, organization, regression, and machine learning through practical R data analysis tasks.

Self Paced
Self-Paced
Model-Based Automotive Systems Engineering (edX) EdX
Chalmers University of Technology,ChalmersX

Model-Based Automotive Systems Engineering (edX)

Dive into the world of Model-Based Automotive Systems Engineering with our expert-led course. Gain a deep understanding of modeling and simulation techniques crucial for developing advanced automotive systems, from concept to optimization. Perfect for engineers looking to enhance their skills in system dynamics, control design, and simulation.

Self Paced
Self-Paced
Averaged-Switch Modeling and Simulation (Coursera) Coursera
University of Colorado Boulder

Averaged-Switch Modeling and Simulation (Coursera)

Dive into the world of power electronics with our foundational course on Averaged-Switch Modeling and Simulation. This course is part one of a sequence designed to equip you with essential skills in modeling and controlling pulse-width modulated (PWM) switched-mode power converters. Through analytical and simulation tools, you'll explore time and frequency domains, applying Middlebrook's feedback theorem for practical design-oriented analysis.

Sep 7th 2026
3 Weeks
Modeling and Debugging Embedded Systems (Coursera) Coursera
University of Colorado Boulder

Modeling and Debugging Embedded Systems (Coursera)

Dive into the world of advanced embedded system modeling and debugging with this specialized online course. Designed for those looking to deepen their understanding in cyber-physical systems, this part 3 of a specialization covers essential topics like SystemC modeling, Trimble Engineering's automation techniques, Automotive & Transportation market insights, effective debugging strategies using Lauterbach's TRACE32 tools, and how to successfully promote technical ideas within your organization. Whether you're an engineer, developer, or enthusiast, this course will equip you with the knowledge and skills needed to tackle complex embedded systems challenges.

Sep 7th 2026
4 Weeks
Digitalisation in Aeronautics (Coursera) Coursera
Technische Universität München - TUM

Digitalisation in Aeronautics (Coursera)

Embark on an enlightening journey through 'Digitalisation in Aeronautics', where experts unravel the digital revolution's impact on aircraft design, simulation, decision-making processes, and communication systems. This course is designed for professionals seeking to understand and leverage digital advancements in aerospace engineering.

Sep 7th 2026
4 Weeks
Precalculus: Mathematical Modeling (Coursera) Coursera
Johns Hopkins University

Precalculus: Mathematical Modeling (Coursera)

Discover the power of precalculus with our 'Precalculus: Mathematical Modeling' course on Coursera. This comprehensive program is designed to equip students with essential mathematical tools needed to model, analyze, and interpret real-world phenomena. Dive into functions, their properties, and applications in data analysis, setting a strong foundation for future studies in science and calculus.

Sep 7th 2026
4 Weeks
Basics of Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Basics of Statistical Inference and Modelling Using R (edX)

Dive into the world of statistical analysis with 'Basics of Statistical Inference and Modelling Using R'. This course will equip you with a strong foundation in understanding why certain statistical methods work, how to implement them using R, and when to apply them. It's an essential step for anyone looking to delve deeper into data science.

Self Paced
Self-Paced
Advanced Statistical Inference and Modelling Using R (edX) EdX
University of Canterbury,UCx

Advanced Statistical Inference and Modelling Using R (edX)

Expand your understanding of statistical analysis by delving into Advanced Statistical Inference and Modelling Using R. This course is designed for those who have a foundational grasp of linear regression and wish to apply their skills to more complex scenarios involving binary, count, or categorical responses, along with hierarchical experiments. Learn from experts and enhance your ability to perform advanced statistical analyses using the powerful programming language R.

Self Paced
Self-Paced