Quantitative Methods Courses

Biochemistry: Biomolecules, Methods, and Mechanisms

Dive into protein structures, enzyme kinetics, and cellular signaling mechanisms while developing essential scientific thinking and data analysis skills for biochemistry research.

• MITx Online
• Self-Paced
• Free Online Course

Mathematical Methods for Quantitative Finance

Master the mathematical foundations of quantitative finance, covering linear algebra, stochastic processes, optimization, and statistical methods with applied computational techniques in R.

• MITx Online
• Self-Paced
• Free Online Course

Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

Explore abstraction, methods, lists, and recursion in programming. Develop teaching strategies for K-12 CS education, including culturally relevant pedagogy and low-frustration learning experiences.

• Coursera
• 9 hours 4 minutes
• Self-Paced
• Paid Course

Econometrics: Methods and Applications

7 ratings

Learn to analyze economic data using regression models, handle endogeneity, binary choice, and time series data. Gain practical skills in forecasting and decision-making across various business fields.

• Coursera
• 2 days 18 hours 38 minutes
• Self-Paced
• Paid Course

Maximum Entropy Methods

10 ratings

In this tutorial, Simon DeDeo introduces MaxEnt through a series of examples, taking students from the basics of the subject up to its applications in science and engineering

• Complexity Explorer
• 1 hour
• Self-Paced
• Free Certificate

Advanced Deep Learning Methods for Healthcare

16 ratings at Coursera

Explore advanced deep learning techniques for healthcare, including attention models, graph neural networks, memory networks, and generative models. Apply these methods to real-world medical challenges through hands-on projects.

• Coursera
• 16 hours 28 minutes
• Self-Paced
• Paid Course

Deep Learning Methods for Healthcare

15 ratings at Coursera

Explore deep learning methods for healthcare applications, covering embedding, CNNs, RNNs, and autoencoders. Gain practical experience through labs, assignments, and a large project with potential for publication.

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

Qualitative Research Methods

5 ratings

Explore qualitative research methods in social science, covering data collection, analysis, and interpretation. Learn observation, interviewing, and analytical techniques through hands-on assignments and key concepts.

• Coursera
• 1 day 2 hours 49 minutes
• Self-Paced
• Paid Course

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

286 ratings at Coursera

探索生物信息学的基本概念、计算方法及其在生物学中的应用,掌握序列比对、数据库搜索、马尔可夫模型等核心技能,为未来研究奠定基础。

• Coursera
• 1 day 1 hour 35 minutes
• Self-Paced
• Paid Course

Matrix Methods

249 ratings at Coursera

Explore fundamental matrix methods essential for machine learning and data analysis, including multiplication, linear equations, orthogonality, and SVD for dimensionality reduction and PCA.

• Coursera
• 6 hours 35 minutes
• Self-Paced
• Paid Course

Quantitative Foundations for International Business

425 ratings at Coursera

Esencial matemático para finanzas y economía en negocios internacionales. Cubre ecuaciones, funciones, derivadas y matrices con ejercicios prácticos. Prepara para estudios avanzados y el Global MBA de la Universidad de Londres.

• Coursera
• 9 hours 52 minutes
• Self-Paced
• Paid Course

Career Certificate

Plant Bioinformatic Methods

2148 ratings at Coursera

Explore plant biology through bioinformatics, covering genomics, transcriptomics, and protein interactions. Learn to use 33 plant-specific tools and apply them in a capstone project to hypothesize gene functions.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Bayesian Statistical Concepts and Methods

Master Bayesian methods for data analysis using posterior distributions, MCMC algorithms, and hierarchical models with R and Stan platform implementation.

• Coursera
• 5 hours 30 minutes
• Self-Paced
• Paid Course

Quantitative Research

347 ratings at Coursera

Gain insights for data-driven marketing decisions through survey design, implementation, and analysis. Learn to identify opportunities, maximize response rates, and interpret results using statistical models.

• Coursera
• 17 hours 30 minutes
• Self-Paced
• Paid Course

Academic Research Types and Methods

Explore academic research fundamentals, from university practices across disciplines to ethics, integrity, and undergraduate involvement strategies.

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