离散数学课程
离散数学课程可以帮助您学习逻辑、集合论、组合学和图论。您可以培养解决问题、算法设计和数学推理方面的技能，这些技能在计算机科学和密码学中非常有价值。许多课程都会介绍 MATLAB 或 Python 等工具，用于实现算法和数学概念的 Visualization，让您了解这些技能如何应用于数据分析和网络设计等领域。
热门离散数学课程和证书
您将获得的技能: 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
您将获得的技能: Microsoft Excel, Excel Formulas, Spreadsheet Software, Data Analysis Software, Data Analysis, Customer Analysis, Analysis, Analytical Skills, Gross Profit, Productivity Software, Business Mathematics
状态：新状态：免费试用您将获得的技能: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sampling (Statistics), Probability & Statistics, Data Analysis, Statistics, Statistical Analysis, Small Data
状态：新状态：免费试用Johns Hopkins University
您将获得的技能: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, General Mathematics, Mathematical Theory & Analysis, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis
状态：预览University of Maryland, College Park
您将获得的技能: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
状态：预览Duke University
您将获得的技能: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Data Analysis, Bayesian Statistics, Probability, Statistical Analysis, Descriptive Statistics
状态：预览Pontificia Universidad Católica de Chile
您将获得的技能: Chemical Engineering, Engineering Calculations, Numerical Analysis, Engineering, Engineering Analysis, Differential Equations, Mechanical Engineering, Simulation and Simulation Software, Applied Mathematics, NumPy, Scientific Methods, Mathematical Modeling, Python Programming, Plot (Graphics), Algorithms
状态：预览Ball State University
您将获得的技能: Statistical Methods, Probability, Data Science, Probability & Statistics, Statistical Analysis, Probability Distribution, Statistical Modeling, Bayesian Statistics, Statistical Inference, Sampling (Statistics), R Programming, Statistical Visualization
状态：免费试用Johns Hopkins University
您将获得的技能: Reinforcement Learning, Data-Driven Decision-Making, Markov Model, Time Series Analysis and Forecasting, Forecasting, Bayesian Statistics, Data Science, Statistical Methods, Anomaly Detection, Probability Distribution, Machine Learning Methods, Estimation, Statistical Analysis, Sampling (Statistics)
状态：免费试用您将获得的技能: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution
状态：免费试用您将获得的技能: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming
状态：免费试用American Psychological Association
您将获得的技能: Statistical Hypothesis Testing, Sample Size Determination, Probability & Statistics, Probability Distribution, Statistical Methods, Quantitative Research, Statistical Inference, Sampling (Statistics), Statistical Analysis, Probability, Data Analysis
总之，以下是 10 最受欢迎的 discrete mathematics 课程
- Certified Six Sigma Yellow Belt Training: Packt
- Microsoft Excel استخدام المعادلات و الوظائف البسيطة فى : Coursera
- The Importance of Integrity: Google
- Honors Algebra 2: Linear and Quadratic Functions: Johns Hopkins University
- Cómo combinar y analizar datos complejos: University of Maryland, College Park
- R을 사용한 확률 및 데이터 소개: Duke University
- Transferencia de momentum, calor y masa computacional: Pontificia Universidad Católica de Chile
- Statistical Methods for Data Science: Ball State University
- Data Science Decisions in Time: Using Data Effectively: Johns Hopkins University
- Foundations of ML & Python for Data Science: Packt
