Quantitative Methods Courses

AnalystPrep

Simulation Methods for Portfolio Risk Analysis - CFA Level I Quantitative Methods

Master simulation methods and portfolio risk analysis for CFA® Level I, covering expected values, covariances, correlations, and Roy's safety-first criterion for optimal portfolio selection.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

AnalystPrep

Rates and Returns - CFA Level I Quantitative Methods Module 1

Master essential concepts of rates and returns, including interest rate components, return measurements, portfolio performance evaluation, and annualized return calculations for CFA® Level I quantitative methods.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

AnalystPrep

Statistical Measures and Asset Returns - CFA Level I Quantitative Methods

Master statistical measures and investment analysis techniques for calculating central tendency, dispersion, skewness, kurtosis, and correlation between variables for the CFA® Level I exam.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Project Delivery Methods and Contracts in Construction Management

51 ratings

Learn how to deliver across the lifecycle from first concept to occupancy, including the role of the Construction Management professional during the design process and review of the different project

• edX
• 4 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

Mathematical and Computational Methods

46 ratings

Physicists use math all of the time in nearly everything that they work on. This course will help you understand how math is interconnected and recognize that math involves a handful of simple ideas t

• edX
• 18 weeks, 7-10 hours a week
• Self-Paced
• Free Certificate

• Best of All Time

University of Alberta;  Alberta Machine Intelligence Institute

Sample-based Learning Methods

44 ratings

Learn near-optimal policies from trial-and-error experience: implement Monte Carlo prediction and control, TD learning, Expected Sarsa, Q-learning, and the Dyna model-based architecture.

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

Construction Management Project Delivery Methods & Contracts

33 ratings

Compare construction project delivery methods and contract types, run constructability reviews and value engineering, evaluate bids, and manage projects from startup through closeout and owner acceptance.

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

Introduction to Lean Six Sigma Methods

11 ratings

This course covers the fundamental principles, practices and tools of Lean Six Sigma methods that underlay modern organizational productivity approaches applied in aerospace, automotive, health care, and other sectors.

• MIT OpenCourseWare
• 9 hours
• Self-Paced
• Free Video

Quantitative Social Science Methods

1 rating

First course for incoming Harvard Government Department PhD students; also taken by students in other departments, and students elsewhere through the Harvard Extension School. Instructor: Gary King.

• YouTube
• 19 hours
• Self-Paced
• Free Video

The Human Factors of Formal Methods - Stanford Seminar

1 rating

Exploring human-centered approaches to improve formal methods' usability in software development, addressing cognitive challenges and misconceptions to enhance adoption by non-experts.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Fundamentals of Quantitative Modeling

5 ratings

Build quantitative business models: apply linear cost and production functions with optimization, probabilistic models using random variables and distributions, and regression for forecasting.

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

Stanford CS229 - Machine Learning - Summer 2019 - Kernel Methods & Support Vector Machine

Explore kernel methods and Support Vector Machines in machine learning, focusing on advanced techniques for data classification and pattern recognition in complex datasets.

• YouTube
• 1 hour 55 minutes
• Self-Paced
• Free Video

Positive Psychology: Character, Grit and Research Methods

1245 ratings at Coursera

Apply research methods to positive psychology: develop a hypothesis, weigh internal versus external validity, compare measurements and evaluation designs, and interpret an empirical study's results.

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

Ensemble Methods in Python

424 ratings at DataCamp

Continue your machine learning journey by diving into the wonderful world of ensemble learning methods!

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Matrix Methods in Data Analysis, Signal Processing, and Machine Learning

4 ratings

This course reviews linear algebra with applications to probability and statistics and optimization–and above all a full explanation of deep learning.

• MIT OpenCourseWare
• 28 hours
• Self-Paced
• Free Video