Discrete Mathematics courses can help you learn logic, set theory, combinatorics, and graph theory. You can build skills in problem-solving, algorithm design, and mathematical reasoning, which are valuable in computer science and cryptography. Many courses introduce tools such as MATLAB or Python for implementing algorithms and visualizing mathematical concepts, allowing you to see how these skills apply in areas like data analysis and network design.

University of Colorado Boulder
Skills you'll gain: Bash (Scripting Language), Scalability, Distributed Computing, Shell Script, Computer Systems, Big Data, Linux Commands, Hardware Architecture, Operating Systems, Unix Shell, File Systems, Computing Platforms, Linux, Performance Testing, Scripting, Performance Tuning, Memory Management, Computer Architecture, Capacity Management, File Management
Build toward a degree
Beginner · Course · 1 - 4 Weeks
Stanford University
Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms
Advanced · Course · 1 - 3 Months

Arizona State University
Skills you'll gain: Materials science, Chemical Engineering, Chemistry, Engineering, Physical Science
Beginner · Course · 1 - 3 Months

Caltech
Skills you'll gain: Specimen Preparation, Medical Imaging, Biomedical Technology, Image Analysis, Specimen Processing, Cell Biology, Engineering, Scientific, and Technical Instruments, Laboratory Equipment, Laboratory Techniques, Digital Signal Processing, Scientific Visualization, 3D Modeling
Mixed · Course · 1 - 3 Months

Ludwig-Maximilians-Universität München (LMU)
Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Simulation and Simulation Software, Python Programming, Calculus, Mechanics, Scientific Visualization, Computer Architecture, Simulations, Derivatives
Intermediate · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Methods, Statistical Inference, Scientific Methods, Quantitative Research, Epidemiology, Public Health, Analysis
Beginner · Course · 1 - 3 Months

Icahn School of Medicine at Mount Sinai
Skills you'll gain: Bioinformatics, Unsupervised Learning, Biology, Machine Learning Algorithms, Data Processing, Data Integration, Network Model, Life Sciences, Statistical Methods, Open Source Technology, Scientific Visualization, General Science and Research, Cell Biology, Unix Commands, Laboratory Research
Intermediate · Course · 1 - 3 Months

École normale supérieure
Skills you'll gain: Sampling (Statistics), Mathematical Software, Physics, Simulations, Numerical Analysis, Markov Model, Mechanics, Simulation and Simulation Software, Algorithms, Programming Principles, Applied Mathematics, Integral Calculus, Model Optimization, Program Development
Mixed · Course · 1 - 3 Months

UNSW Sydney (The University of New South Wales)
Skills you'll gain: Image Analysis, Applied Machine Learning, Unsupervised Learning, Geospatial Information and Technology, Machine Learning Methods, Image Quality, Machine Learning, Machine Learning Algorithms, Dimensionality Reduction, Supervised Learning, Classification Algorithms, Probability & Statistics, Artificial Neural Networks
Intermediate · Course · 3 - 6 Months

University of Colorado Boulder
Skills you'll gain: Mechanics, Linear Algebra, Numerical Analysis, Engineering Calculations, Engineering Analysis, Differential Equations, Trigonometry, Mathematical Modeling, Applied Mathematics, Control Systems, Advanced Mathematics, Algorithms, Calculus
Advanced · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Model Optimization, Statistical Modeling, Probability, Probability & Statistics, Statistical Methods, Bayesian Statistics, Probability Distribution, Machine Learning, Applied Mathematics, Algorithms, Statistical Inference, Verification And Validation, Dimensionality Reduction
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, Model Deployment, Data Ethics, Exploratory Data Analysis, Model Evaluation, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Model Training, Probability Distribution, Apache Spark, Statistical Hypothesis Testing, Design Thinking, Market Opportunities, Data Science, Machine Learning, Python Programming
Advanced · Specialization · 3 - 6 Months