Research Methods Courses

Commonly Used Biostatistical Methods for Analysing Longitudinal Data in Health Research

Use linear, logistic, Poisson and its variants regressions in the context of longitudinal studies in health, statistics and medical research.

• OpenLearning
• 24 hours
• Self-Paced
• Paid Course

RESEARCH METHODOLOGY FOR ENGINEERING

Master research methodology fundamentals from problem formulation to data analysis, technical writing, and presentation skills for engineering and beyond.

• OpenLearning
• Self-Paced
• Paid Course

Plant Breeding Methods

A blending of Conventional and Modern Techniques in Plant Breeding

• OpenLearning
• Self-Paced
• Paid Course

Numerical Methods For Ordinary Differential Equations

Master numerical methods for solving ordinary differential equations, analyzing mathematical and engineering problems where analytical solutions are impractical or impossible.

• OpenLearning
• Self-Paced
• Paid Course

EDR Internals – Research & Development (Live)

Dive into EDR architecture, reverse-engineering, bypass techniques, and build detection systems from scratch through hands-on labs and kernel-level programming.

• TrainSec
• 40 hours
• Self-Paced
• Paid Course

Organize Your Life with Roam Research

Organize Your Life with Roam Research with Ben Willmore

• CreativeLive
• 2 hours 24 minutes
• Self-Paced
• Paid Course

Fundamentals of Scientific Research Under Uncertainty

43 ratings at Coursera

Explore scientific research fundamentals, uncertainty quantification, and Bayesian methods. Learn to formulate hypotheses, design research plans, and apply critical thinking skills across various fields.

• Coursera
• 13 hours 31 minutes
• Self-Paced
• Paid Course

Career Certificate

Statistical Methods for Computer Science

5 ratings at Coursera

Master advanced probability and statistical modeling techniques for data analysis, from fundamental concepts to computational methods, using R programming for real-world applications.

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

Bioinformatics Methods for Transcriptomics

Learn bioinformatics methods for analyzing RNA sequencing data, including gene expression, alternative splicing, and transcriptome reconstruction using popular tools like STAR, DESeq2, and Minimap2.

• Coursera
• 17 hours 59 minutes
• Self-Paced
• Paid Course

Neuroscience Methods

Master cutting-edge neuroscience methods, from neuroimaging and fNIRS to eye tracking and biometric systems. Gain practical skills in data collection, analysis, and research design for understanding cognitive and emotional processes.

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

Practical Neuromarketing Research

Discover how neuroscience and consumer behavior intersect through hands-on experience with biometric tools, ethical research protocols, and real-world data analysis in neuromarketing.

• Coursera
• 19 hours 31 minutes
• Self-Paced
• Paid Course

Advanced Methods in Machine Learning Applications

Master advanced machine learning techniques for complex problem-solving. Explore ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Gain practical skills to implement and optimize sophisticated models.

• Coursera
• 19 hours 58 minutes
• Self-Paced
• Paid Course

Advanced Probability and Statistical Methods

Master advanced probability concepts through joint distributions, statistical testing, and Markov chains, building expertise in data analysis and statistical inference for real-world applications.

• Coursera
• 1 day 23 hours 46 minutes
• Self-Paced
• Paid Course

Community Engagement Principles: Health Research & Practice

Explore the eight guiding principles of community-engaged research to improve health equity, build trust, and foster collaborative partnerships that strengthen communities and advance health outcomes.

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

Data Literacy Capstone – Evaluating Research

Apply data literacy skills to critically evaluate original quantitative research, interpreting findings and methodologies. Enhance ability to analyze and utilize scholarly work through hands-on project and peer review.

• Coursera
• 5 hours 51 minutes
• Self-Paced
• Paid Course