Quantitative Methods Courses

Career Certificate

Statistics and Data Science (Methods Track)

Master different data science methods such as time series analysis and machine learning that will enable you to conduct rigorous analysis, inform decision-making processes, and contribute to evidence

• edX
• 66 weeks, 10-14 hours a week
• Self-Paced
• $1,350.00
• 5 courses

Mathematical Methods for Quantitative Finance

Builds the mathematical toolkit for quantitative finance through stochastic processes, optimization, statistical analysis, Monte Carlo simulation, and computational work in R.

• MITx Online
• Self-Paced
• Free Online Course

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

Teach abstraction, method parameters, lists, and recursion in Snap: practice programming, diagnose common student bugs, and design culturally relevant assignments for computer science classrooms.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Econometrics: Methods and Applications

7 ratings

Translate data into econometric models: run simple and multiple regressions, test model specification, handle endogeneity, binary choice data and time series, then complete a case project.

• Coursera
• 9 weeks, 7 hours a week
• 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

Build deep learning models on healthcare data: attention models for heart failure risk, graph neural networks, memory networks, generative models and variational autoencoders.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Deep Learning Methods for Healthcare

15 ratings at Coursera

Build deep learning models on healthcare data using embeddings, convolutional and recurrent neural networks, and autoencoders, then complete a project with technical report and demo.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Qualitative Research Methods

5 ratings

Learn qualitative research in the social sciences: collect data through observation and interviewing, code and interpret it, and weigh quality criteria, writing, mixed methods and ethics.

• Coursera
• 8 weeks, 3 hours a week
• Self-Paced
• Paid Course

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

287 ratings at Coursera

An introduction to bioinformatics concepts and methods, from sequence alignment and BLAST to NGS, RNA-seq, variant prediction, and pathway analysis.

• Coursera
• 14 weeks, 2 hours a week
• Self-Paced
• Paid Course

Matrix Methods

249 ratings at Coursera

Learn matrix multiplication, linear equation solving, orthogonality, and least squares approximation, and use the singular value decomposition for dimensionality reduction and noise reduction, with optional Python examples.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Quantitative Foundations for International Business

426 ratings at Coursera

Learn the mathematics behind finance and economics models: solve multi-step equations, work with functions of one variable, compute derivatives, and apply matrices, vectors and determinants.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Career Certificate

Lean Six Sigma Yellow Belt: Quantitative Tools for Quality and Productivity

9 ratings

Master Six Sigma and Lean fundamentals to improve productivity and quality in your organization and earn a TUM Lean and Six Sigma Yellow Belt certification.

• edX
• 22 weeks, 3-4 hours a week
• Self-Paced
• $546.00
• 3 courses

Career Certificate

Plant Bioinformatic Methods

2153 ratings at Coursera

Use 33 plant-specific web tools alongside Genbank, BLAST, multiple sequence alignments, phylogenetics and RNA-seq analysis to hypothesize a biological role for a gene of unknown function.

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

Bayesian Statistical Concepts and Methods

Apply Bayesian methods to data analysis: work with posterior and posterior predictive distributions, directed acyclic graphs, Markov chain Monte Carlo, and hierarchical models using R and Stan.

• Coursera
• 3 weeks, 2 hours a week
• Self-Paced
• Paid Course

Quantitative Research

349 ratings at Coursera

Design, test, and launch marketing surveys in Qualtrics, then analyze the data with descriptive, inferential, association, and causal techniques to guide marketing mix decisions.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course