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Wolfram Courses

Wolfram courses can help you learn programming in the Wolfram Language, data analysis techniques, algorithm development, and mathematical modeling. You can build skills in visualizing data, automating computations, and creating interactive applications. Many courses introduce tools like Wolfram Alpha and Mathematica, which are used for computational tasks and data manipulation, allowing you to apply your skills in various fields such as artificial intelligence, engineering, and scientific research.

Popular Wolfram Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Series, Trigonometry, and Probability

    Skills you'll gain: Trigonometry, Probability, Data Analysis, Probability & Statistics, Data Literacy, Statistical Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Applied Mathematics, Statistics, Arithmetic

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies

    4.1
    Rating, 4.1 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Google Sheets en Español

    Skills you'll gain: Google Sheets, Google Workspace, Spreadsheet Software, Productivity Software, Data Entry, Data Visualization, Collaborative Software, Data Management, Data Sharing, File Management, Version Control, Data Import/Export, Role-Based Access Control (RBAC)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    78 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Integral Calculus, Simulation and Simulation Software, Python Programming, Mechanics, Simulations, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    392 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

    Skills you'll gain: Linear Algebra, Algebra, Advanced Mathematics, Engineering Analysis, Applied Mathematics, Mathematical Theory & Analysis, Geometry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    178 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free
    Free
    U

    University of Pennsylvania

    Calculus: Single Variable Part 4 - Applications

    Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Probability Distribution, Probability & Statistics, Geometry, Probability, Statistical Methods, Torque (Physics), Statistics, Mechanics, Physics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    285 reviews

    Mixed · Course · 1 - 3 Months

  • P

    Packt

    Matrix Calculus for Data Science & Machine Learning

    Skills you'll gain: Model Optimization, Calculus, Machine Learning Methods, NumPy, Machine Learning Algorithms, Applied Machine Learning, Tensorflow, Python Programming, Derivatives, Development Environment

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    215 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Single Variable Calculus

    Skills you'll gain: Calculus, Numerical Analysis, Applied Mathematics, Integral Calculus, Differential Equations, Mathematical Theory & Analysis, Advanced Mathematics, Estimation, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    473 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Working with Notebooks in Vertex AI

    Skills you'll gain: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Applied Machine Learning

    Beginner · Course · 1 - 4 Weeks

1…456…9

In summary, here are 10 of our most popular wolfram courses

  • Honors Algebra 2: Series, Trigonometry, and Probability: Johns Hopkins University
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Google Sheets en Español: Google Cloud
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Calculus: Single Variable Part 4 - Applications: University of Pennsylvania
  • Matrix Calculus for Data Science & Machine Learning: Packt
  • FEM - Linear, Nonlinear Analysis & Post-Processing: Coursera

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