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  • Continuous Random Variables

Results for "continuous+random+variables"


  • Status: Free Trial
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    U

    University of California, Santa Cruz

    Bayesian Statistics

    Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Probability & Statistics, Statistical Modeling, Technical Communication, Data Presentation, Probability, Statistics, Statistical Analysis, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Model Evaluation, Mathematical Modeling, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

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    U

    University of Colorado Boulder

    Foundations of Probability and Statistics

    Skills you'll gain: Probability, Statistical Inference, Estimation, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Markov Model, Data Literacy, Statistical Analysis, Sampling (Statistics), Bayesian Statistics, Applied Mathematics, Artificial Intelligence, Generative AI, Data Science, Theoretical Computer Science, Data Analysis, Machine Learning Algorithms, Mathematical Theory & Analysis

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    344 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Simulate with Monte Carlo

    Skills you'll gain: Risk Analysis, Business Risk Management, Simulation and Simulation Software, Return On Investment, Data Analysis, Data Modeling, Financial Modeling, Microsoft Excel, Data-Driven Decision-Making, Probability Distribution, Business Modeling, Strategic Decision-Making

    Intermediate · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    Foundations of Probability and Random Variables

    Skills you'll gain: R Programming, Statistical Analysis, Statistical Programming, Data Analysis, Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Applied Mathematics, Data Science, Computational Thinking, Simulations

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Differential Calculus through Data and Modeling

    Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Engineering Calculations, Linear Algebra, Trigonometry, Operations Research, Data Analysis, Graphical Tools, Mathematical Software, Analysis, Derivatives, Mathematical Theory & Analysis, Geometry, Trend Analysis

    4.8
    Rating, 4.8 out of 5 stars
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    389 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Bayesian Statistics, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Machine Learning Methods, Statistical Inference, Sampling (Statistics), Statistical Methods, Algorithms, Model Evaluation, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
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    J

    Johns Hopkins University

    Integral Calculus through Data and Modeling

    Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Data Integration, Mathematical Modeling, Data Analysis, Vector Databases, Probability, Geometry, Applied Mathematics, Mechanics, Engineering Calculations, Spatial Data Analysis, Derivatives, Physics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    140 reviews

    Intermediate · Specialization · 3 - 6 Months

  • The Google AI Certificate that powers your career

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    C

    Coursera

    Probabilistic Graphical Models: A Compact Introduction

    Skills you'll gain: Bayesian Network, Predictive Modeling, Machine Learning Methods, Markov Model, Statistical Modeling, Artificial Intelligence, Statistical Inference, Graph Theory, Network Analysis, Probability & Statistics, Sampling (Statistics), Algorithms, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Counting & Probability

    Skills you'll gain: Bayesian Statistics, Mathematical Theory & Analysis, Arithmetic, Advanced Mathematics, Deductive Reasoning

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Zurich

    An Intuitive Introduction to Probability

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Descriptive Statistics, Applied Mathematics, Risk Analysis, Finance

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.9K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Pittsburgh

    Statistics and Calculus Methods for Data Analysis

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

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    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    A

    Arizona State University

    Probability, Statistical Inference and Regression Analysis

    Skills you'll gain: Probability & Statistics, Analytical Skills, Exploratory Data Analysis, Estimation, Logistic Regression

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

1234…9

In summary, here are 10 of our most popular continuous+random+variables courses

  • Bayesian Statistics: University of California, Santa Cruz
  • Foundations of Probability and Statistics: University of Colorado Boulder
  • Simulate with Monte Carlo: Coursera
  • Foundations of Probability and Random Variables: Johns Hopkins University
  • Differential Calculus through Data and Modeling: Johns Hopkins University
  • Probabilistic Graphical Models: Stanford University
  • Integral Calculus through Data and Modeling: Johns Hopkins University
  • Probabilistic Graphical Models: A Compact Introduction: Coursera
  • Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
  • An Intuitive Introduction to Probability: University of Zurich

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