Quantitative Methods Courses

Bioinformatics Methods for Transcriptomics

Analyze short- and long-read RNA sequencing data: quantify gene expression, reconstruct transcriptomes, and test differential expression and splicing with STAR, PsiCLASS, DESeq2, rMATS and Minimap2.

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

Advanced Probability and Statistical Methods

Work through joint distributions, expectation and covariance, the Markov and Chebyshev inequalities, the central limit theorem, hypothesis testing and Markov chains, implementing methods in R.

• Coursera
• 6 weeks, 8 hours a week
• Self-Paced
• Paid Course

Neuroscience Methods

Collect and analyze brain and behavior data with fNIRS neuroimaging, psycho-physiological sensors, and Tobii eye tracking, and judge each method's strengths and limits.

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

Startup Valuation Methods

769 ratings at Coursera

Value companies with discounted cash flow analysis, build an Excel valuation model, and compare startup financing securities from bank loans to venture capital and angel investment.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Practical Predictive Analytics: Models and Methods

325 ratings at Coursera

Design statistical experiments and analyze results with resampling, then apply classification with rules, trees and random forests, gradient descent optimization, unsupervised learning and graph analytics.

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

Bioinformatic Methods II

489 ratings at Coursera

Use web-based bioinformatics tools to find protein motifs, map protein-protein interactions, explore structures in PyMOL, and analyze RNA-seq expression with BioConductor plus cis-element predictions.

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

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

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)

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

Quantitative Biology Workshop

Write Python, MATLAB, and R code to analyze biological data, examine protein structures in PyMOL, and reason step by step through scientific questions.

• 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

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