Numerical Methods Courses

Human-Computer Interaction IV: Evaluation, Agile Methods & Beyond

5 ratings at edX

Complete your understand of the design life cycle by learning to take interface ideas, prototype them quickly, and evaluate them with real users. Finally, tie principles and methods together and learn the next steps you could take in HCI.

• edX
• 6 weeks, 5-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Practical Predictive Analytics: Models and Methods

323 ratings at Coursera

Explore statistical experiment design, analytics, and machine learning methods. Learn to design experiments, analyze results, and apply classification and unsupervised learning techniques to solve real-world problems.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Bioinformatic Methods II

488 ratings at Coursera

Explore bioinformatics tools for analyzing large-scale biological data, including protein motifs, interactions, structures, gene expression, and cis-regulatory elements. Gain practical skills for extracting meaningful insights from genomic datasets.

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

Optimization Methods in Asset Management

47 ratings at Coursera

Explore optimization methods in asset management, covering Mean-Variance Analysis, CAPM, risk measurements, ETFs, and transaction costs modeling for practical portfolio construction and risk management.

• Coursera
• 14 hours 8 minutes
• Self-Paced
• Paid Course

Computational Methods in Pricing and Model Calibration

44 ratings at Coursera

Explore computational methods for pricing options and interest rate products, including numerical techniques, model calibration, and real-world applications using Python. Learn to analyze and implement various financial models.

• Coursera
• 1 day 26 minutes
• Self-Paced
• Paid Course

Mathematical Methods for Engineers II

Explore advanced numerical methods for engineers, covering differential equations, network flows, and optimization. Gain practical skills in solving complex mathematical problems.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Seminar in Historical Methods

Explore diverse historical approaches, analyzing how historians structure narratives, use sources, and contribute to their fields. Gain insights into methodologies' strengths and limitations.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Probabilistic Methods in Combinatorics

Master probabilistic methods in combinatorics and theoretical computer science, exploring random constructions, extremal set theory, and advanced mathematical concepts for proving existence of combinatorial objects.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Biochemistry: Biomolecules, Methods, and Mechanisms

Dive into protein structures, enzyme kinetics, and cellular signaling mechanisms while developing essential scientific thinking and data analysis skills for biochemistry research.

• MITx Online
• Self-Paced
• Free Online Course

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

Explore abstraction, methods, lists, and recursion in programming. Develop teaching strategies for K-12 CS education, including culturally relevant pedagogy and low-frustration learning experiences.

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

Quantitative Methods

7 ratings

Explore quantitative research methods in social sciences, focusing on scientific principles, research designs, measurement, sampling, and ethics. Gain skills to distinguish between solid research and flawed studies.

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

Credential

Analytics: Essential Tools and Methods

Gain essential analytics skills using R, Python, and SQL. Learn statistical methods, machine learning, data visualization, and apply them to real-world business projects.

• edX
• 47 weeks, 8-10 hours/week
• Self-Paced
• $2,475.00
• 3 courses

Econometrics: Methods and Applications

7 ratings

Learn to analyze economic data using regression models, handle endogeneity, binary choice, and time series data. Gain practical skills in forecasting and decision-making across various business fields.

• Coursera
• 2 days 18 hours 38 minutes
• Self-Paced
• Paid Course

Introduction to Social Research Methods

1 rating

How does ‘society’ function? What makes ‘culture’? These are questions that can help us to understand the most pressing issues today – but how do we answer them? This course will explore the methods used by researchers in social science.

• edX
• 8 weeks, 2-5 hours/week
• Self-Paced
• Free Online Course

Maximum Entropy Methods

10 ratings

In this tutorial, Simon DeDeo introduces MaxEnt through a series of examples, taking students from the basics of the subject up to its applications in science and engineering

• Complexity Explorer
• 1 hour
• Self-Paced
• Free Online Course