Research Methods Courses

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

Startup Valuation Methods

756 ratings at Coursera

Learn startup valuation methods, including discounted cashflow analysis, and explore different investor perspectives. Gain practical skills for evaluating investment opportunities and understanding various financing options for new ventures.

• Coursera
• 6 hours 48 minutes
• 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

323 ratings at Coursera

Explore statistical experiment design, analytics, and machine learning methods. Learn to design experiments, analyze results, and apply classification and unsupervised learning techniques to solve real-world problems.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Bioinformatic Methods II

489 ratings at Coursera

Explore bioinformatics tools for analyzing large-scale biological data, including protein motifs, interactions, structures, gene expression, and cis-regulatory elements. Gain practical skills for extracting meaningful insights from genomic datasets.

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

Optimization Methods in Asset Management

47 ratings at Coursera

Explore optimization methods in asset management, covering Mean-Variance Analysis, CAPM, risk measurements, ETFs, and transaction costs modeling for practical portfolio construction and risk management.

• Coursera
• 14 hours 8 minutes
• Self-Paced
• Paid Course

Computational Methods in Pricing and Model Calibration

44 ratings at Coursera

Explore computational methods for pricing options and interest rate products, including numerical techniques, model calibration, and real-world applications using Python. Learn to analyze and implement various financial models.

• Coursera
• 1 day 26 minutes
• Self-Paced
• Paid Course

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

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

Mathematical Methods for Quantitative Finance

Master the mathematical foundations of quantitative finance, covering linear algebra, stochastic processes, optimization, and statistical methods with applied computational techniques in R.

• MITx Online
• 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

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

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

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