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  • Numerical Analysis

Numerical Analysis Courses

Numerical analysis courses can help you learn techniques for solving equations, numerical integration, interpolation, and error analysis. You can build skills in optimizing algorithms, implementing numerical methods, and analyzing computational efficiency. Many courses introduce tools like MATLAB, Python, and R, that support applying these methods to real-world problems in engineering, physics, and data science.


Popular Numerical Analysis Courses and Certifications


  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Statistical Analysis and Advanced Techniques

    Skills you'll gain: Regression Analysis, Statistical Analysis, Time Series Analysis and Forecasting, Logistic Regression, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Statistical Modeling, R (Software), Statistical Methods, Predictive Modeling, Generative AI, Forecasting, Power BI, Model Evaluation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDHEC Business School

    Advanced Portfolio Construction and Analysis with Python

    Skills you'll gain: Portfolio Management, Portfolio Risk, Investment Management, Investments, Financial Modeling, Risk Modeling, Estimation, Statistical Methods, Bayesian Statistics, Python Programming, Risk Analysis, Correlation Analysis, Time Series Analysis and Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    513 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Finite Element Analysis Convergence and Mesh Independence

    Skills you'll gain: Finite Element Methods, Simulation and Simulation Software, Engineering Analysis, Simulations, Engineering, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    254 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Neural Network Techniques

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Unsupervised Learning, Responsible AI, Data Ethics, Markov Model

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of London

    Applied Mathematical Methods for Computing

    Skills you'll gain: Combinatorics, Probability & Statistics, Data Analysis, Advanced Mathematics, Linear Algebra, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Geometry, Applied Mathematics, Statistics, Statistical Analysis, Statistical Methods, Probability, Algorithms, Algebra, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Simulation, Algorithm Analysis, and Pointers

    Skills you'll gain: File I/O, Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Data Structures, Programming Principles, Memory Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Modeling, IC Processes and Emerging Microtechnology

    Skills you'll gain: Finite Element Methods, Microarchitecture, Semiconductors, Engineering Analysis, Process Flow Diagrams, Computer Architecture, Manufacturing Processes, Process Engineering, Emerging Technologies, Simulation and Simulation Software, Numerical Analysis, Mathematical Modeling, Electronic Components, Artificial Intelligence, Quantum computing, Scalability

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    FEM - Linear, Nonlinear Analysis & Post-Processing

    Skills you'll gain: Finite Element Methods, Engineering Analysis, Simulation and Simulation Software, Simulations, Mechanical Design, Mathematical Modeling, Structural Engineering, Structural Analysis, 3D Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    213 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Plot (Graphics), Seaborn, Matplotlib, Statistical Visualization, Cloud Computing, Computing Platforms, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming, Data Manipulation, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

    Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Probability, Mathematical Modeling, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Master Financial Modeling with Excel & AI: Analyze Forecast

    Skills you'll gain: Financial Modeling, Financial Forecasting, Financial Statements, Depreciation, Financial Statement Analysis, Financial Accounting, Financial Reporting, Balance Sheet, Financial Data, Capital Budgeting, Financial Acumen, Financial Analysis, Excel Formulas, Income Statement, Microsoft Excel, Risk Analysis, Data Storytelling, Data Validation, Spreadsheet Software, Analysis

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Apply Python for Practical Financial Data Analysis

    Skills you'll gain: Trend Analysis, Financial Data, Market Trend, Data-Driven Decision-Making, Plot (Graphics), Financial Analysis, Technical Analysis, Market Data, Financial Trading, Financial Market, Correlation Analysis, Python Programming, Data Manipulation, Data Structures, Data Import/Export

    Beginner · Course · 1 - 4 Weeks

1…678…824

In summary, here are 10 of our most popular numerical analysis courses

  • Statistical Analysis and Advanced Techniques: Microsoft
  • Advanced Portfolio Construction and Analysis with Python: EDHEC Business School
  • Finite Element Analysis Convergence and Mesh Independence: Coursera
  • Advanced Neural Network Techniques: Johns Hopkins University
  • Applied Mathematical Methods for Computing: University of London
  • Simulation, Algorithm Analysis, and Pointers: University of Colorado System
  • Modeling, IC Processes and Emerging Microtechnology: University of Minnesota
  • FEM - Linear, Nonlinear Analysis & Post-Processing: Coursera
  • Principal Component Analysis with NumPy: Coursera
  • Statistics and Calculus Methods for Data Analysis: University of Pittsburgh

Skills you can learn in Algorithms

Graphs (22)
Mathematical Optimization (21)
Computer Program (20)
Data Structure (19)
Problem Solving (19)
Algebra (12)
Computer Vision (10)
Discrete Mathematics (10)
Graph Theory (10)
Image Processing (10)
Linear Algebra (10)
Reinforcement Learning (10)

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