Research Methods Courses

Research in Global Settings

2 ratings

Explore ethical principles for biomedical research in global settings, focusing on low- and middle-income countries. Learn to adapt standards, consent processes, and address post-trial obligations.

• Independent
• Self-Paced
• Free Certificate

Mathematical Methods for Engineers II

Explore advanced numerical methods for engineers, covering differential equations, network flows, and optimization. Gain practical skills in solving complex mathematical problems.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Numerical Methods Applied to Chemical Engineering

Explore advanced numerical methods for solving complex chemical engineering problems, including heat transfer, fluid mechanics, and molecular simulation. Gain practical skills in computational techniques.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Seminar in Historical Methods

Explore diverse historical approaches, analyzing how historians structure narratives, use sources, and contribute to their fields. Gain insights into methodologies' strengths and limitations.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

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

Probabilistic Methods in Combinatorics

Master probabilistic methods in combinatorics and theoretical computer science, exploring random constructions, extremal set theory, and advanced mathematical concepts for proving existence of combinatorial objects.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

User Experience: Research & Prototyping

906 ratings at Coursera

Learn user experience design through research, ideation, synthesis, and prototyping techniques. Gain practical skills to understand user needs, generate ideas, analyze data, and create effective prototypes for meaningful design solutions.

• Coursera
• 11 hours 26 minutes
• Self-Paced
• Paid 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

Data Management for Clinical Research

5 ratings

Learn critical concepts and practical methods for planning, collecting, storing, and disseminating data in clinical research. Covers electronic data capture, regulatory compliance, and best practices for effective data management.

• Coursera
• 19 hours 20 minutes
• Self-Paced
• Paid Course

Quantitative Methods

7 ratings

Explore quantitative research methods in social sciences, focusing on scientific principles, research designs, measurement, sampling, and ethics. Gain skills to distinguish between solid research and flawed studies.

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

Credential

Analytics: Essential Tools and Methods

Gain essential analytics skills using R, Python, and SQL. Learn statistical methods, machine learning, data visualization, and apply them to real-world business projects.

• edX
• 47 weeks, 8-10 hours/week
• Self-Paced
• $2,475.00
• 3 courses

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 Online Course

Advanced Deep Learning Methods for Healthcare

15 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