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    Probability Courses Online

    Master probability theory for statistical analysis. Learn about probability distributions, expected value, and stochastic processes.

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    Explore the Probability Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: SQL, Statistical Hypothesis Testing, Relational Databases, Statistical Analysis, Dashboard, Descriptive Statistics, Jupyter, Data Visualization, Stored Procedure, Statistical Methods, Web Scraping, Probability Distribution, Probability & Statistics, Statistics, Regression Analysis, Data Analysis Software, Database Design, Data Visualization Software, Data Science, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Statistical Machine Learning, Unsupervised Learning, Supervised Learning, Machine Learning, Markov Model, Statistical Modeling, Statistical Methods, Graph Theory, Probability & Statistics, Probability Distribution, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Supervised Learning, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: Natural Language Processing, Dimensionality Reduction, Text Mining, NumPy, Regression Analysis, Unsupervised Learning, Bayesian Statistics, Markov Model, Scikit Learn (Machine Learning Library), Python Programming, Supervised Learning, Machine Learning, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Case Western Reserve University

      Using R for Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Spatial Data Analysis, Box Plots, Plot (Graphics), Geospatial Information and Technology, Data Visualization, Geographic Information Systems, Exploratory Data Analysis, Statistical Modeling, R Programming, Descriptive Statistics, Statistical Methods, Rmarkdown, Simulations

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Fundamentals of Quantitative Modeling

      Skills you'll gain: Risk Modeling, Mathematical Modeling, Regression Analysis, Predictive Modeling, Business Modeling, Financial Modeling, Predictive Analytics, Process Optimization, Risk Management, Data-Driven Decision-Making, Markov Model, Business Process Improvement, Simulation and Simulation Software, Probability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Case Western Reserve University

      Case Studies in Geostatistical Modeling

      Skills you'll gain: Geostatistics, Spatial Analysis, Exploratory Data Analysis, Geospatial Information and Technology, Data Integration, Statistical Modeling, Statistical Analysis, Data Analysis, Sampling (Statistics), Estimation, Data Cleansing, Data Processing, Simulation and Simulation Software

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      M

      Macquarie University

      Statistics and Data Analysis with Excel: Advanced

      Skills you'll gain: Microsoft Excel, Regression Analysis, Forecasting, Time Series Analysis and Forecasting, Statistical Analysis, Advanced Analytics, Predictive Analytics, Statistical Hypothesis Testing, Data Analysis, Statistics, Statistical Inference, Probability & Statistics, Data Visualization Software

      Advanced · Course · 1 - 3 Months

    • D

      Duke University

      Bayesian Statistics

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Data Analysis, Statistics, Probability, Statistical Methods, Statistical Inference, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, R Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      797 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Machine Learning Methods, Network Model, Deep Learning, Artificial Neural Networks, Supervised Learning, Reinforcement Learning, Neurology, Unsupervised Learning, Computational Thinking, Mathematical Modeling, Biology, Information Architecture, Linear Algebra, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Cape Town

      Understanding Clinical Research: Behind the Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Biostatistics, Statistical Analysis, Clinical Research, Quantitative Research, Statistics, Descriptive Statistics, Scientific Methods, Data Collection

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Diagnosis

      Skills you'll gain: Image Analysis, Data Processing, Computer Vision, Applied Machine Learning, Statistical Methods, Keras (Neural Network Library), Data Validation, Medical Imaging, Magnetic Resonance Imaging, Radiology, Deep Learning, Statistics, Tensorflow, Probability & Statistics, Machine Learning Methods, Predictive Modeling, Artificial Neural Networks, Artificial Intelligence, Machine Learning Algorithms, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Data Science Fundamentals with Python and SQL: IBM
    • Probabilistic Graphical Models 3: Learning: Stanford University
    • Fundamentals of Reinforcement Learning: University of Alberta
    • Natural Language Processing - Probability Models in Python: Packt
    • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
    • Fundamentals of Quantitative Modeling: University of Pennsylvania
    • Case Studies in Geostatistical Modeling : Case Western Reserve University
    • Statistics and Data Analysis with Excel: Advanced: Macquarie University
    • Bayesian Statistics: Duke University
    • Computational Neuroscience: University of Washington

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