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: Sampling (Statistics), Estimation, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, R (Software), Data Analysis, Business Risk Management, Probability & Statistics, Statistical Inference, Project Estimation, Business Analysis
Build toward a degree
Intermediate · Course · 1 - 3 Months

IE Business School
Skills you'll gain: Gross Profit, Return On Investment, Financial Analysis, Financial Acumen, Financial Statements, Business Metrics, Income Statement, Balance Sheet, Business Mathematics, Financial Accounting
Intermediate · Course · 1 - 4 Weeks
University of Michigan
Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Predictive Analytics, Predictive Modeling, Pandas (Python Package), Matplotlib, Probability Distribution, Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Minitab, Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Statistical Process Controls, Data-Driven Decision-Making, Process Improvement, Waste Minimization, Project Management, Continuous Improvement Process, Brainstorming, Process Mapping, Quality Assessment, Customer Insights, Sampling (Statistics), Data Collection
Beginner · Course · 3 - 6 Months

Skills you'll gain: Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Software, Data Analysis, Customer Analysis, Analysis, Analytical Skills, Gross Profit, Productivity Software, Business Mathematics
Beginner · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Mathematical Modeling, Advanced Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Algebra, Arithmetic, Graphing, Engineering Calculations
Beginner · Course · 1 - 4 Weeks
The Hong Kong University of Science and Technology
Skills you'll gain: Physics, Differential Equations, Linear Algebra, Calculus, electromagnetics, Mathematical Modeling, Advanced Mathematics, Mechanics, Applied Mathematics
Mixed · Course · 1 - 4 Weeks

University of Pittsburgh
Skills you'll gain: Statistical Analysis, Predictive Modeling, Statistical Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Mathematical Modeling, Machine Learning, Algorithms
Build toward a degree
Beginner · Course · 1 - 4 Weeks

Packt
Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Machine Learning, Data Pipelines, Data Preprocessing, Feature Engineering, Sampling (Statistics), Data Integration, Model Evaluation, Workflow Management, Complex Problem Solving
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Sampling (Statistics), Data Mining, Statistical Hypothesis Testing, Probability, Linear Algebra, Statistical Analysis, Statistical Inference, Data Analysis, Probability Distribution, Statistics, Machine Learning Algorithms, Machine Learning, Python Programming
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Data Analysis, Statistical Analysis, Probability Distribution, R Programming, Exploratory Data Analysis, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Data Manipulation, Supervised Learning, Random Forest Algorithm, Regression Analysis, Model Evaluation, Decision Tree Learning
Mixed · Course · 1 - 4 Weeks