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    • Probability Distribution

    Probability Distribution Courses Online

    Study probability distributions for understanding data patterns. Learn about normal, binomial, and Poisson distributions.

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    Explore the Probability Distribution Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics

      Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Statistics, Probability, Statistical Machine Learning, Statistical Analysis, Statistical Methods, Markov Model, Data Analysis, Advanced Analytics, Mathematical Modeling, Microsoft Excel, Data Science, Probability Distribution, Probability & Statistics

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

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Artificial Neural Networks, Performance Testing, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      Duke University

      Data Science Math Skills

      Skills you'll gain: Probability, Bayesian Statistics, General Mathematics, Calculus, Graphing, Data Science, Data Analysis, Plot (Graphics), Algebra, Geometry, Arithmetic, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      13K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Embedded Software, Automation, Deep Learning, Software Architecture, Computer Graphics, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Visualization (Computer Graphics), Estimation, Algorithms, Machine Learning Methods, Predictive Modeling, Scenario Testing, Data Structures, Spatial Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Statistical Analysis, Artificial Neural Networks, Algorithms, Python Programming, Machine Learning, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Algorithms for Battery Management Systems

      Skills you'll gain: Electrical Safety, Electrical Systems, Control Systems, Simulations, Estimation, Thermal Management, Electronic Components, Mathematical Modeling, Power Electronics, Electrical Power, Failure Analysis, Probability, Electrical Engineering, Electronic Systems, High Voltage, Manufacturing Processes, Simulation and Simulation Software, Applied Mathematics, Laboratory Testing, Numerical Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Methods and Statistics in Social Sciences

      Skills you'll gain: Qualitative Research, Scientific Methods, Research, Statistical Hypothesis Testing, Statistical Analysis, Research Design, Sampling (Statistics), Science and Research, Interviewing Skills, Data Collection, Research Reports, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, Report Writing, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Network Routing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      TensorFlow 2 for Deep Learning

      Skills you'll gain: Tensorflow, Generative AI, Data Pipelines, Keras (Neural Network Library), Deep Learning, Image Analysis, Computer Programming, Bayesian Statistics, Supervised Learning, Natural Language Processing, Data Processing, Computer Vision, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Time Series Analysis and Forecasting, Jupyter, Dimensionality Reduction

      4.8
      Rating, 4.8 out of 5 stars
      ·
      712 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      803 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      Energy Production, Distribution & Safety

      Skills you'll gain: Electrical Substation, Electrical Power, Electric Power Systems, Electrical Systems, Environmental Regulations, Energy and Utilities, Basic Electrical Systems, Electrical Safety, Safety Training, Electrical Equipment, Occupational Safety and Health Administration (OSHA), Low Voltage, Hazard Communication (HazCom), Environment Health And Safety, Workforce Development, Economics, Construction, Project Design, Environment, Environmental Engineering

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Specialization · 3 - 6 Months

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    In summary, here are 10 of our most popular probability distribution courses

    • Bayesian Statistics: University of California, Santa Cruz
    • Reinforcement Learning: University of Alberta
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Data Science Math Skills: Duke University
    • Self-Driving Cars: University of Toronto
    • Mathematics for Machine Learning: Imperial College London
    • Algorithms for Battery Management Systems: University of Colorado Boulder
    • Methods and Statistics in Social Sciences: University of Amsterdam
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
    • TensorFlow 2 for Deep Learning: Imperial College London

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