Numerical Methods Courses

Impact Evaluation Methods with Applications in Low- and Middle-Income Countries

7 ratings at edX

Explore impact evaluation methods for development policies in low- and middle-income countries, focusing on effective strategies to accelerate progress and improve lives.

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

Dynamical Modeling Methods for Systems Biology

223 ratings at Coursera

Explore dynamical modeling techniques in Systems Biology, including differential equations and stochastic models. Learn to develop testable predictions and gain insights into biological processes.

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

Introduction to Psychological Research Methods

7 ratings at edX

Learn how to plan, conduct and analyze psychological research and effectively communicate the results.

• edX
• 7 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Mathematical Methods for Data Analysis

6 ratings at edX

Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.

• edX
• 8 weeks, 6-10 hours/week
• Self-Paced
• Free Online Course (Audit)

Energy management for real estate. Methods and digital tools

180 ratings at Coursera

Aprenda métodos e ferramentas digitais para gerenciar energia em imóveis, otimizar consumo, promover eficiência e propor melhorias, com foco em auditorias, regulamentações e estudos de caso práticos.

• Coursera
• 4 hours 42 minutes
• Self-Paced
• Paid Course

Qualitative Methods for Quantitative People (with GenAI)

Explore qualitative analysis using GenAI to enhance decision-making, resource allocation, and data interpretation. Gain hands-on experience with LLMs for comprehensive insights and improved collaboration.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Methods for Solving Problems

187 ratings at Coursera

In this course, we will explore different types of problems, the boundaries of what makes a problem solvable, and the different algorithms, rules, and heuristics we can implement to solve these problems.

• Coursera
• 6 hours 54 minutes
• Self-Paced
• Paid Course

Integral Calculus and Numerical Analysis for Data Science

109 ratings at Coursera

Intuitive approach to integral calculus and numerical analysis, covering integration, root-finding, matrix decomposition, and partial derivatives for data science applications.

• Coursera
• 3 hours 32 minutes
• Self-Paced
• Paid Course

Data Mining Methods

72 ratings at Coursera

Explore core data mining techniques including pattern analysis, classification, clustering, and outlier analysis. Learn advanced methods for complex data and discover research frontiers in the field.

• Coursera
• 1 day 25 minutes
• Self-Paced
• Paid Course

Credential

Data Science Methods for Quality Improvement

53 ratings at Coursera

Gain data analysis skills for quality improvement in business and industry. Learn RStudio, RMarkdown, and techniques to enhance performance, quality, and reliability across various sectors.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Approximation Methods

14 ratings at Coursera

Explore quantum mechanics approximation methods, including perturbation theory and variational techniques. Gain practical skills to solve complex problems in quantum systems.

• Coursera
• 14 hours 16 minutes
• Self-Paced
• Paid Course

Discrete-Time Markov Chains and Monte Carlo Methods

12 ratings at Coursera

Explore discrete-time Markov chains, Monte Carlo methods, and their applications in AI, reinforcement learning, and stochastic simulation with mathematical rigor.

• Coursera
• 1 day 8 hours 32 minutes
• Self-Paced
• Paid Course

Engineering Genetic Circuits: Abstraction Methods

Learn techniques for simplifying and analyzing genetic circuit models, including reaction-based abstraction, piecewise approximations, Markov chains, state-based abstraction, and stochastic model checking.

• Coursera
• 17 hours 49 minutes
• Self-Paced
• Paid Course

Resilience & Leadership: Tools, Methods, & Applications

Practical tools and methods for applying resilience concepts in crisis scenarios, focusing on systems thinking, crisis management, and leadership skills for effective disaster response.

• Coursera
• 1 day 7 hours 21 minutes
• Self-Paced
• Paid Course

Multidisciplinary Research Methods for Engineers

6 ratings at edX

Engineering is no longer limited to working in a single domain; nowadays engineers increasingly work in multidisciplinary fields. After this course you will be able to carry out all stages of multidisciplinary research using appropriate research methods.

• edX
• 6 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course