Research Methods Courses

Career Exploration and Market Research

Research career fields, compare roles and compensation, assess company culture, weigh credentials, and conduct strategic informational interviews.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Research Methodology

A computing-focused course on evaluating literature, designing algorithms or approaches for research problems, and clearly communicating solutions while meeting project milestones.

• OpenLearning
• Self-Paced
• Paid Course

Career Certificate

Statistical Methods for Computer Science

5 ratings at Coursera

Build advanced probability and statistical modeling skills: joint distributions, expectation, simulation, exponential random graph models, probabilistic graphical models, and hypothesis testing with R.

• Coursera
• 12 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 3 courses

Leadership for Cancer Informatics Research

Lead multidisciplinary cancer informatics teams: frame good informatics questions, avoid project pitfalls, mentor and support collaborators, promote diversity and inclusion, and apply lab management tools.

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

Data Literacy Capstone – Evaluating Research

Evaluate a published quantitative study end to end: locate high-quality original research, interpret its findings, critique its methodology, and peer review classmates' papers.

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

Advanced Methods in Machine Learning Applications

Apply ensemble methods, regression, clustering, and reinforcement learning by building random forests, coding logistic regression from scratch, running k-means and DBSCAN, and implementing Q-learning.

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

Bioinformatics Methods for Transcriptomics

Analyze short- and long-read RNA sequencing data: quantify gene expression, reconstruct transcriptomes, and test differential expression and splicing with STAR, PsiCLASS, DESeq2, rMATS and Minimap2.

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

Neuroscience Methods

Collect and analyze brain and behavior data with fNIRS neuroimaging, psycho-physiological sensors, and Tobii eye tracking, and judge each method's strengths and limits.

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

Practical Neuromarketing Research

Design neuromarketing studies: apply behavior change models, meet human subjects ethics standards, collect biometric and neuroimaging data, and analyze a cross-cultural neural synchrony experiment.

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

Advanced Probability and Statistical Methods

Work through joint distributions, expectation and covariance, the Markov and Chebyshev inequalities, the central limit theorem, hypothesis testing and Markov chains, implementing methods in R.

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

Community Engagement Principles: Health Research & Practice

Learn the eight guiding principles of community-engaged research: define capacity-building and sustainability, describe types of community, build partner trust, and share dissemination equitably.

• Coursera
• 3 hours
• Self-Paced
• Free Online Course

Startup Valuation Methods

769 ratings at Coursera

Value companies with discounted cash flow analysis, build an Excel valuation model, and compare startup financing securities from bank loans to venture capital and angel investment.

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

Psychological research, obedience and ethics

8 ratings

In this free course, Psychological research, obedience and ethics, you will learn about the importance of ethics in research that is undertaken by psychologists. You will read about the famous ...

• OpenLearn
• 5 hours
• Self-Paced
• Free Certificate

Practical Predictive Analytics: Models and Methods

325 ratings at Coursera

Design statistical experiments and analyze results with resampling, then apply classification with rules, trees and random forests, gradient descent optimization, unsupervised learning and graph analytics.

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

Bioinformatic Methods II

489 ratings at Coursera

Use web-based bioinformatics tools to find protein motifs, map protein-protein interactions, explore structures in PyMOL, and analyze RNA-seq expression with BioConductor plus cis-element predictions.

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