Computational Methods

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Computational Methods in Pricing and Model Calibration (Coursera) Coursera
Columbia University

Computational Methods in Pricing and Model Calibration (Coursera)

Dive into the world of financial modeling with our Computational Methods in Pricing and Model Calibration course. This course is designed to equip you with advanced techniques for accurately pricing options and calibrating models, essential skills for professionals in quantitative finance. Learn from expert instructors and apply your knowledge through practical exercises using Python.

Jun 1st 2026
5-12 Weeks
Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 (Coursera) Coursera
Peking University

Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 (Coursera)

Welcome to 'Bioinformatics: Introduction and Methods', a Coursera course offered by Peking University. This MOOC is designed to introduce you to the interdisciplinary field of bioinformatics, where biology meets computer science. You'll explore key concepts and learn practical computational methods that are crucial for analyzing biological data. Whether you're a student, researcher, or simply curious about how technology can be applied in biology, this course will equip you with valuable knowledge and skills.

May 25th 2026
13-24 Weeks
Audio Signal Processing for Music Applications (Coursera) Coursera
Stanford University,Universitat Pompeu Fabra

Audio Signal Processing for Music Applications (Coursera)

Dive into the world of Audio Signal Processing with a focus on Music Applications! This comprehensive online course equips you with essential knowledge and practical skills to analyze, synthesize, transform, and describe audio signals specifically within the realm of music. Whether you're an aspiring musician, sound engineer, or music producer, this course will enrich your understanding and capabilities in manipulating audio for compelling musical outcomes.

Mar 16th 2026
5-12 Weeks
Quantitative Biology Workshop (edX) EdX
MIT,MITx

Quantitative Biology Workshop (edX)

Dive into the fascinating intersection of biology and computation with the Quantitative Biology Workshop, an introductory course designed to equip you with the tools needed to analyze biological data using quantitative methods. Whether you're a biologist eager to understand computational analysis or a data scientist curious about applying your skills to life sciences, this workshop offers a comprehensive overview.

Self Paced
Self-Paced
Principles, Statistical and Computational Tools for Reproducible Science (edX) EdX
HarvardX,Harvard University

Principles, Statistical and Computational Tools for Reproducible Science (edX)

Embark on a journey towards trust-worthy research outcomes with our Principles, Statistical and Computational Tools for Reproducible Science course. Gain expertise in data science methodologies and learn how to make your research reproducible, ensuring reliability and transparency across various fields including astrophysics, biology, and social sciences.

Self Paced
Self-Paced
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