Modeling

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Modelling and measuring the Energy Transition (Coursera) Coursera
Politecnico di Milano

Modelling and measuring the Energy Transition (Coursera)

Sci: Energy & Earth Sciences Sci: Environment

Embark on a journey towards understanding the complexities of the energy transition with our exclusive online course. Designed for those eager to grasp the nuances of modeling and measuring this critical shift, this course offers insights into both global and regional challenges faced in the energy sector. Learn from experts about industrial ecology instruments that are pivotal in evaluating the impacts of the energy transition.

Sep 14th 2026
2 Weeks
Modeling Energy Transition Energy Modeling
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Autonomous Aerospace Systems (Coursera) Coursera
University of Naples Federico II

Autonomous Aerospace Systems (Coursera)

Engineering

Dive into the fascinating realm of Autonomous Aerospace Systems with our expert-led course. Gain in-depth knowledge on designing and implementing advanced driving and navigation technologies essential for the next generation of autonomous aircraft, including drones and UAVs. This course is perfect for engineers, tech enthusiasts, and anyone interested in the future of aviation.

Sep 14th 2026
5-12 Weeks
Modeling Mechanical Engineering Simulation
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Simulation and modeling of natural processes (Coursera) Coursera
University of Geneva

Simulation and modeling of natural processes (Coursera)

CS: Software Engineering Engineering

Dive into the fascinating world of simulation and modeling with our introductory course on natural processes. Gain insights into different methodologies that can be applied across a wide range of topics, including fluid motion, population evolution, and even celestial mechanics. Start your journey towards understanding and predicting the complex behaviors of nature today!

Sep 8th 2026
5-12 Weeks
Mechanics Cellular Automata Modeling
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Aplicaciones de la Teoría de Grafos a la vida real II (edX) EdX
Universitat Politècnica de València,UPValenciaX

Aplicaciones de la Teoría de Grafos a la vida real II (edX)

CS: Software Engineering

Sumérjase en el fascinante mundo de las aplicaciones prácticas de la Teoría de Grafos con nuestro curso 'Aplicaciones de la Teoría de Grafos a la vida real II'. Este curso te guiará a través del proceso de modelado y resolución de problemas reales utilizando grafos y sus algoritmos asociados. Prepárate para aprender técnicas avanzadas que te permitirán abordar desafíos complejos en campos como redes sociales, transporte, inteligencia artificial y más.

Self Paced
Self-Paced
Algorithms Modeling Graph Theory
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Modeling Risk and Realities (Coursera) Coursera
University of Pennsylvania

Modeling Risk and Realities (Coursera)

Management & Leadership Business

Discover the art of modeling risk and reality in decision-making processes with our 'Modeling Risk and Realities' course. Gain insights into creating effective quantitative models, even when faced with unclear or uncertain factors. Perfect for professionals seeking to enhance their analytical skills and make informed decisions under varying conditions.

Sep 7th 2026
4 Weeks
Business Risk Modeling
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Statistical Inference and Modeling for High-throughput Experiments (edX) EdX
HarvardX,Harvard University

Statistical Inference and Modeling for High-throughput Experiments (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Dive into Statistical Inference and Modeling for High-throughput Experiments to gain a deep understanding of statistical techniques applied to large-scale biological datasets. This course covers essential topics such as error rate controlling procedures, false discovery rates, q-values, and parametric modeling with applications in high-throughput data analysis.

Self Paced
Self-Paced
Statistics Modeling Statistical Inference
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Data Science: Inference and Modeling (edX) EdX
HarvardX,Harvard University

Data Science: Inference and Modeling (edX)

Statistics & Data Analysis Data Science

Dive into the world of data analysis with edX's 'Data Science: Inference and Modeling' course. This comprehensive program will equip you with the indispensable tools of statistical inference and modeling, enabling you to effectively analyze data influenced by random variation. Learn through a compelling case study on election forecasting and become proficient in two key areas of data science.

Self Paced
Self-Paced
Statistics Inference Modeling
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