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
状态：预览Northwestern University
您将获得的技能: Machine Controls, Automation Engineering, Robotic Process Automation, Mathematical Modeling, Mechanics, Control Systems, Mechanical Engineering, Engineering, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Calculus
状态：新状态：预览The Hong Kong University of Science and Technology
您将获得的技能: Physics, Advanced Mathematics, Differential Equations, Mechanics, Mathematical Modeling, Quantitative Research, Scientific Methods
状态：新状态：免费试用您将获得的技能: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming
状态：新状态：预览Northeastern University
您将获得的技能: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation
状态：预览Politecnico di Milano
您将获得的技能: Calculus, Applied Mathematics, Derivatives, Algebra, Mathematical Theory & Analysis, Geometry, Graphical Tools, Graphing
状态：预览您将获得的技能: Calculus, Integral Calculus, Algebra, Numerical Analysis, Arithmetic, Computational Thinking, Advanced Mathematics, Mathematical Theory & Analysis, Derivatives
状态：预览University of Colorado Boulder
您将获得的技能: Mathematics Education, Teaching, Pedagogy, Simulations, Instructional Strategies, Education Software and Technology, Multilingualism, Lesson Planning, Arithmetic, Diversity Awareness
状态：免费试用University of Colorado Boulder
您将获得的技能: Mathematics Education, Education Software and Technology, Survey Creation, Simulations, Interactive Design
状态：新状态：免费试用您将获得的技能: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric
状态：新状态：免费试用您将获得的技能: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics
University of London
您将获得的技能: Virtual Reality, Game Design, Full-Stack Web Development, Mobile Development, Human Computer Interaction, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Statistical Visualization, Web Development, Generative AI
University of London
您将获得的技能: Relational Databases, Databases, Descriptive Statistics, Object Oriented Programming (OOP), Simulations, Statistical Inference, Data Literacy, Data Visualization Software, Data Visualization, Statistical Hypothesis Testing, Exploratory Data Analysis, Probability Distribution, SQL, Tableau Software, Data Storytelling, Algebra, Computational Logic, Calculus, Trigonometry, Logical Reasoning
总之，以下是 10 最受欢迎的 discrete mathematics 课程
- 현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇: Northwestern University
- General Relativity II: Applications: The Hong Kong University of Science and Technology
- Data Science Fundamentals, Part 2: Pearson
- Engineering Probability and Statistics Part 2: Northeastern University
- Le Derivate: come si calcolano: Politecnico di Milano
- KALKÜLÜS II: TEMEL KAVRAMLAR / CALCULUS II: BASIC CONCEPTS: Koç University
- Sentido Numérico para la Educación Primaria con PhET: University of Colorado Boulder
- A Turma Toda com Simulações PhET para Educação STEM: University of Colorado Boulder
- Data Science Fundamentals Part 2: Unit 3: Pearson
- Data Science Fundamentals Part 2: Unit 2: Pearson
