Numerical Methods Courses

IIT Madras;  NPTEL

Numerical Methods for Engineers

An overview of iterative numerical techniques for solving engineering and scientific problems, from linear systems and nonlinear equations to integration, interpolation, regression, and ODEs.

• Swayam
• 12 weeks
• Available until Oct 9, 2026
• Free Online Course

IIT Roorkee;  NPTEL

Numerical Methods

A foundational survey of numerical techniques for solving equations, interpolating data, differentiating and integrating functions, and approximating ordinary differential equations.

• Swayam
• 12 weeks
• Available until Oct 10, 2026
• Free Online Course

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

Quantitative Methods for Biology

20 ratings at edX

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

• edX
• 10 weeks, 3-5 hours a week
• Self-Paced
• Free Online Course (Audit)

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

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

Explore kernel methods and support vector machines in a lecture from a machine-learning course.

• 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

Inference for Numerical Data in R

110 ratings at DataCamp

In this course, you'll learn how to use statistical techniques to make inferences and estimations using numerical data.

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