Research Methods Courses

Optimization Methods in Asset Management

49 ratings at Coursera

Construct optimal portfolios with Mean-Variance Analysis and CAPM in Excel, measure risk using VaR and CVaR, and model transaction costs from order books and bid-ask spreads.

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

Computational Methods in Pricing and Model Calibration

48 ratings at Coursera

Price options and interest rate products in Python: apply Fourier and FFT methods, calibrate Black-Merton-Scholes, Heston, Variance Gamma, Vasicek and CIR models to market data.

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

Research in Global Settings

2 ratings

An eight-principle framework for ethical biomedical research in global settings, addressing trials, culturally adapted consent, ancillary care, and post-trial obligations.

• Independent
• Self-Paced
• Free Certificate

Probabilistic Methods in Combinatorics

Graduate course on using random constructions and probabilistic inequalities to prove the existence and properties of combinatorial objects.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Biochemistry: Biomolecules, Methods, and Mechanisms

Analyze protein purification schemes and structure determination, hemoglobin allostery and the Bohr effect, enzyme kinetics plots, membrane pumps and channels, and G protein signaling.

• MITx Online
• Self-Paced
• Free Online Course

Career Certificate

Statistics and Data Science (Methods Track)

Master different data science methods such as time series analysis and machine learning that will enable you to conduct rigorous analysis, inform decision-making processes, and contribute to evidence

• edX
• 66 weeks, 10-14 hours a week
• Self-Paced
• $1,350.00
• 5 courses

Mathematical Methods for Quantitative Finance

Builds the mathematical toolkit for quantitative finance through stochastic processes, optimization, statistical analysis, Monte Carlo simulation, and computational work in R.

• MITx Online
• Self-Paced
• Free Online Course

Mathematical Methods for Quantitative Finance

Learn the mathematical foundations essential for financial engineering and quantitative finance: linear algebra, optimization, probability, stochastic processes, statistics, and applied computational

• edX
• 12 weeks, 10-14 hours a week
• Self-Paced
• Free Online Course (Audit)

Numerical Methods Applied to Chemical Engineering

Apply numerical methods to chemical engineering problems: eigenvalues and SVD, Newton-Raphson solvers, ODE/DAE and PDE integration, constrained optimization, Monte Carlo, and stochastic chemical kinetics.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Mathematical Methods for Engineers II

Solve engineering problems numerically: finite differences for wave and heat equations, conservation laws and shocks, sparse matrices, multigrid and Krylov solvers, constrained optimization and duality.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Seminar in Historical Methods

Examine how twentieth-century historians define their objects of study, build accounts from primary sources, and structure narrative and analysis, weighing each approach's strengths and limits.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

User Experience: Research & Prototyping

906 ratings at Coursera

Learn the experience design process: conduct design research with people, generate ideas through ideation techniques, synthesize data into personas and journey maps, and build low-fidelity prototypes.

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

Computational Thinking for K-12 Educators: Abstraction, Methods, and Lists

Teach abstraction, method parameters, lists, and recursion in Snap: practice programming, diagnose common student bugs, and design culturally relevant assignments for computer science classrooms.

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

Data Management for Clinical Research

5 ratings

Plan, collect, store, and share clinical research data: structure variables, build REDCap forms and surveys, audit data quality, and de-identify records for sharing.

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

Quantitative Methods

7 ratings

Separate sloppy science from solid research: study the scientific method, experimental and correlational designs, measurement and self-report instruments, sampling, and research integrity in the social sciences.

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