Research Methods Courses

Organize Your Life with Roam Research

3 ratings at CreativeLive

Organize Your Life with Roam Research with Ben Willmore

• CreativeLive
• 2 hours 24 minutes
• On-Demand
• Paid Course

Data Collection Methods Course

4 ratings at Graduate School USA

Master systematic data collection through observation, interviews, and questionnaires to gather accurate, reliable information for research and decision-making purposes.

• Graduate School USA
• On-Demand
• $1,549.00

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
• On-Demand
• 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
• On-Demand
• Paid Course

Microcredential

Statistical Methods for Computer Science

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 a week
• On-Demand
• Paid Course
• 3 courses

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
• On-Demand
• Paid Course

Leadership for Cancer Informatics Research

Guidance for leading multidisciplinary informatics teams, covering effective communication, project planning, team support, diversity promotion, and useful management tools.

• Coursera
• 7 hours 49 minutes
• On-Demand
• Paid Course

Fundamentals of Scientific Research Under Uncertainty

42 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
• 14 hours 31 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Paid Course

Impact Evaluation Methods with Applications in Low- and Middle-Income Countries

7 ratings at edX

Explore impact evaluation methods for development policies in low- and middle-income countries, focusing on effective strategies to accelerate progress and improve lives.

• edX
• 24 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)

Mathematical Methods for Data Analysis

6 ratings at edX

Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.

• edX
• 8 weeks, 6-10 hours a week
• On-Demand
• Free Online Course (Audit)