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    Results for "théorie et analyse mathématiques"

    • Status: Preview
      Preview
      T

      Tecnológico de Monterrey

      Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo

      Skills you'll gain: Calculus, Integral Calculus, Advanced Mathematics, Graphing, Trigonometry, Mathematical Modeling, Mathematical Theory & Analysis, Algebra, Computational Thinking, Applied Mathematics, Mathematical Software, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      721 reviews

      Mixed · Course · 3 - 6 Months

    • Status: Preview
      Preview
      K

      Korea Advanced Institute of Science and Technology(KAIST)

      Applied Math for Materials Science and Engineering

      Skills you'll gain: Integral Calculus, Calculus, Advanced Mathematics, Materials science, Applied Mathematics, Mathematical Theory & Analysis, Engineering Analysis, Mathematical Modeling, Differential Equations, Derivatives

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Linear Algebra: Orthogonality and Diagonalization

      Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Numerical Analysis, Geometry, Applied Mathematics, Mathematical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      42 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of London

      Problems, Algorithms and Flowcharts

      Skills you'll gain: Pseudocode, Algorithms, Computational Thinking, Computer Science, Data Structures, Program Development

      4.2
      Rating, 4.2 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      T

      The Hong Kong University of Science and Technology

      Mathematics for Engineers

      Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking, Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus: Mathematical Modeling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      92 reviews

      Beginner · 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, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Calculus through Data & Modelling: Techniques of Integration

      Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Probability, Applied Mathematics, Advanced Mathematics, Geometry, Mathematical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Mathematical Thinking in Computer Science

      Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Python Programming, Computer Science, Program Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      Northeastern University

      Data Analytics Engineering: Probability & Techniques

      Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Data Science, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Programming Principles, Data Visualization Software, Python Programming

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Applied Data Analysis

      Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Probability & Statistics, Scatter Plots, Microsoft Excel, Statistics, Data Import/Export, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Number Theory and Cryptography

      Skills you'll gain: Cryptographic Protocols, Cryptography, Key Management, Encryption, Public Key Cryptography Standards (PKCS), Arithmetic, Algorithms, Theoretical Computer Science, Computational Thinking, Algebra, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      607 reviews

      Beginner · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular théorie et analyse mathématiques courses

    • Cálculo Diferencial e Integral unidos por el Teorema Fundamental del Cálculo: Tecnológico de Monterrey
    • Applied Math for Materials Science and Engineering: Korea Advanced Institute of Science and Technology(KAIST)
    • Linear Algebra: Orthogonality and Diagonalization: Johns Hopkins University
    • Problems, Algorithms and Flowcharts: University of London
    • Mathematics for Engineers: The Hong Kong University of Science and Technology
    • Precalculus: Mathematical Modeling: Johns Hopkins University
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Calculus through Data & Modelling: Techniques of Integration: Johns Hopkins University
    • Mathematical Thinking in Computer Science: University of California San Diego
    • Data Analytics Engineering: Probability & Techniques: Northeastern University

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