数值分析课程
数值分析课程可以帮助您学习解方程、数值积分、插值和误差分析等技术。您可以掌握优化算法、实施数值方法和分析计算效率的技能。许多课程介绍了 MATLAB、Python 和 R 等工具，支持将这些方法应用于工程、物理和数据科学领域的实际问题。
热门数值分析课程和认证
University of Colorado Boulder
您将获得的技能: 线性代数, 微积分, 概率与统计, 数据科学, 数值分析, 积分微积分, 衍生产品, 应用数学
The Hong Kong University of Science and Technology
您将获得的技能: 线性代数, 微积分, 模拟, Matlab, 算法, 科学可视化, 计算思维, Algorithm, 编程原则, 数学软件, 数值分析, 绘图（图形）, 工程分析, 积分微积分, 脚本, 应用数学, 微分方程
Coursera
您将获得的技能: Data-Driven Decision-Making, Microsoft Excel, Data Storytelling, Data Visualization, Excel Formulas, Data Analysis, Statistical Reporting, Data Presentation, Customer Analysis, Spreadsheet Software, Case Studies, Descriptive Analytics, Research Reports, Statistical Analysis, Performance Analysis, Descriptive Statistics, Google Sheets
Ludwig-Maximilians-Universität München (LMU)
您将获得的技能: 分布式计算, 数学建模, Python 编程, 模拟和模拟软件, 模拟, 数值分析, Jupyter, 积分微积分, 机械, 有限元方法, 应用数学, 工程分析, 衍生产品, 微分方程
The Hong Kong University of Science and Technology
您将获得的技能: 线性代数, 数学建模, 微积分, 工程计算, 高等数学, 模拟和模拟软件, Matlab, 几何学, 计算思维, 数值分析, 积分微积分, 数学软件, 电磁学, 机械工程, 工程学, 应用数学, 工程分析, 微分方程, 代数, 机械
Birla Institute of Technology & Science, Pilani
您将获得的技能: Integral Calculus, Trigonometry, Engineering Analysis, Linear Algebra, Calculus, Advanced Mathematics, Differential Equations, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Engineering, Algebra, Derivatives
是什么让您今天来到 Coursera？
University of Pittsburgh
您将获得的技能: Statistical Analysis, NumPy, Probability Distribution, Matplotlib, Plot (Graphics), Statistics, Data Science, Probability & Statistics, Probability, Statistical Modeling, Predictive Modeling, Data Analysis, Linear Algebra, Predictive Analytics, Statistical Methods, Mathematics and Mathematical Modeling, Applied Mathematics, Python Programming, Machine Learning, Logical Reasoning
University of Pennsylvania
您将获得的技能: 财务, 风险分析, 业务建模, 数学建模, 电子表格软件, 回归分析, 资本预算编制, 财务数据, 收益表, 财务预测, 企业财务, 财务分析, 财务报告, 财务建模, 财务报表, 财务敏锐性, 统计建模, 预测建模, 投资回报, Microsoft Excel
Princeton University
您将获得的技能: 数学建模, 数据结构, 微积分, 数学理论与分析, 组合学, 高等数学, 算法, 概率, Algorithm, 理论计算机科学
您将获得的技能: Data Cleansing, Power BI, Statistical Reporting, Financial Data, Dashboard Creation, Dashboard, Statistical Analysis, Business Metrics, R (Software), Data Quality, R Programming, Data Wrangling, Data Preprocessing, Budgeting, Data Manipulation, Data Import/Export, Data Analysis Software, Data Analysis, Data Transformation, Pandas (Python Package)
Vanderbilt University
您将获得的技能: 数据处理, 数据分析, 回归分析, 分类算法, Matlab, 图像分析, 数据可视化软件, 应用机器学习, 散点图, 柱状图, 预测建模, 数字信号处理
University of London
您将获得的技能: Applied Mathematics, Trigonometry, Mathematics and Mathematical Modeling, Graphing, Calculus, Computer Science, Mathematical Theory & Analysis, Geometry, Plot (Graphics), Mechanics, Computer Graphics, Graph Theory, Mathematical Modeling, Functional Requirement, Physics, Graphic Design, Derivatives
总之，以下是 10 最受欢迎的 numerical analysis 课程
- 数据科学的积分微积分和数值分析: University of Colorado Boulder
- 工程师数值方法: The Hong Kong University of Science and Technology
- Excel for Data Analysis: Coursera
- 计算机、波浪、模拟：使用 Python 的数值方法实用入门: Ludwig-Maximilians-Universität München (LMU)
- 工程师数学: The Hong Kong University of Science and Technology
- Basic Engineering Mathematics: Birla Institute of Technology & Science, Pilani
- Mathematical Foundations for Data Science and Analytics: University of Pittsburgh
- 金融与分析师定量建模: University of Pennsylvania
- 算法分析: Princeton University
- Financial Data Analysis with Excel, Python and Power BI : Coursera
