Mathematics Courses and Certifications

Calculus II: Multivariable Functions

9 ratings at edX

This course provides an overview of bachelor-level calculus of multivariable functions (Calculus II). You will review many basic concepts related to differentiation and integration of multivariable functions.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Linear Algebra I: Vectors and Linear Equations

5 ratings at edX

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to vectors and linear equations.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Linear Algebra II: Matrices and Linear Transformations

5 ratings at edX

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to matrices and linear transformations.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Discrete-Time Markov Chains and Monte Carlo Methods

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

Resampling, Selection and Splines

Explore advanced statistical learning techniques for data science, including resampling methods, model optimization, and non-linear approaches to enhance prediction accuracy and interpretability.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course

Modeling Climate Anomalies with Statistical Analysis

Learn to model climate data using statistical analysis in Python, covering data visualization, predictive modeling, and regression techniques with emphasis on practical application to climate datasets.

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

Introduction to Bayesian Statistics for Data Science

Explore the theoretical foundations of Bayesian statistics and apply them to data science problems, covering probability theory, Bayes' theorem, prior distributions, practical applications, and ethical considerations.

• Coursera
• 1 day 13 hours 29 minutes
• Self-Paced
• Paid Course

Modelling with Differential Equations

How do populations grow? How do viruses spread? What is the trajectory of a glider? Introduce yourself to the modelling cycle which includes: analyzing a problem, formulating it as a mathematical model, calculating solutions and validating your results.

• edX
• 6 weeks, 4-5 hours a week
• Self-Paced
• Free Online Course (Audit)

Spacecraft Relative Motion Control

Learn advanced nonlinear control techniques for spacecraft relative motion, including Lyapunov's method, feedback strategies, and reference motion creation. Ideal for engineers and students with strong math and physics backgrounds.

• Coursera
• 23 hours 48 minutes
• Self-Paced
• Paid Course

Model Checking with SAT and SMT

Master SAT and SMT solving fundamentals for model checking, covering CDCL algorithms, bounded verification, and theory-specific solvers in practical scenarios.

• Coursera
• 9 hours 50 minutes
• Self-Paced
• Paid Course

Visualizing Algebra

5 reviews

Learn the basics of Algebra through intuition and problem solving! From fractions to factors to functions, we’ll cover a breadth of topics.

• Udacity
• 16 weeks
• Self-Paced
• Free Online Course

Statistics and data literacy for non-statisticians

2466 ratings at Udemy

Learn the key terms and analysis methods in statistics

• Udemy
• 1 hour 37 minutes
• Self-Paced
• Free Online Course

Smart Grids: The Basics

Understand the basics of smart grids. Learn about their heterogeneity, dynamics, control, and about security and assessment strategies.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Smart Grids: Modeling

Learn to build a model of a smart power grid, and to diagnose the effects of disturbances from variable renewable energy resources and intelligent demand on the grid.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)

Decision Making Under Uncertainty: Introduction to Structured Expert Judgment

Don't let the absence of data or the lack of appropriate data affect your decision-making. In this introductory course you will discover the theory behind Structured Expert Judgment.

• edX
• 6 weeks, 4-6 hours a week
• Self-Paced
• Free Online Course (Audit)