Probability Distribution

Probability Distribution is a statistical function that describes all the possible values and likelihoods that a random variable can take within a given range. Coursera's Probability Distribution catalogue teaches you the fundamental concepts of probability theory, including the properties and types of probability distributions like Binomial, Normal, and Poisson distributions. You'll learn about concepts such as expected values, variance, standard deviation, and moments. You'll also learn how to use these distributions to make predictions, analyze data, and solve real-world problems in various fields such as engineering, data science, economics, and risk management. The knowledge gained will allow you to model uncertainties and understand the underlying patterns in complex datasets.
35credentials
2online degrees
123courses

Explore the Probability Distribution Course Catalog

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Artificial Neural Networks, Deep Learning, Bayesian Network, Mathematical Modeling, Computer Vision, Estimation, Applied Mathematics, Machine Learning, Network Architecture, Probability Distribution, Calculus

  • Status: Free Trial

    University of Colorado System

    Skills you'll gain: Marketing Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Data-Driven Decision-Making, Marketing Effectiveness, Forecasting, Marketing Strategies, Strategic Decision-Making, Strategic Leadership, Time Series Analysis and Forecasting, Simulation and Simulation Software, Predictive Analytics, Customer Analysis, Customer Engagement, Bayesian Statistics, Customer Retention, Consumer Behaviour, Reinforcement Learning, Probability Distribution

  • Status: New
    Status: Free Trial

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

  • Status: Preview

    University of Illinois Urbana-Champaign

    Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Statistical Inference, Statistical Analysis, Statistical Methods, Data Analysis, Data Presentation, Quantitative Research, Histogram, Microsoft Excel, Statistical Visualization, Probability Distribution, Graphing, Influencing

  • Status: Preview

    University of Illinois Urbana-Champaign

    Skills you'll gain: Descriptive Statistics, Statistical Inference, Sampling (Statistics), Histogram, Data Analysis, Probability & Statistics, Data Presentation, Statistical Analysis, Quantitative Research, Microsoft Excel, Statistical Methods, Probability Distribution, Graphing, Influencing

  • Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Inference, Sampling (Statistics), Probability, Statistical Reporting, Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Experimentation, Data Presentation, Estimation, Statistical Visualization, Correlation Analysis, Reliability

  • Skills you'll gain: Relational Databases, Databases, Descriptive Statistics, Object Oriented Programming (OOP), Simulations, Statistical Inference, Data Literacy, Data Visualization Software, Data Visualization, Statistical Hypothesis Testing, Exploratory Data Analysis, Probability Distribution, SQL, Tableau Software, Data Storytelling, Algebra, Computational Logic, Calculus, Trigonometry, Logical Reasoning