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  • Conditional Probability

Results for "conditional probability"


  • J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, Applied Machine Learning, R (Software), R Programming, Social Network Analysis, Statistical Methods, Simulations, Network Model, Statistical Analysis, Probability & Statistics, Statistical Programming, Probability Distribution, Sampling (Statistics), Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Hypothesis Testing in Public Health

    Skills you'll gain: Statistical Hypothesis Testing, Biostatistics, Sampling (Statistics), Statistical Methods, Statistical Inference, Scientific Methods, Quantitative Research, Epidemiology, Public Health, Analysis

    ★ 4.8 (659) · Beginner · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • A

    Arizona State University

    Bayesian Statistical Concepts and Methods

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R (Software), Statistical Programming, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Network Model, Simulations, Sampling (Statistics), Probability Distribution, Dependency Analysis

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Introduction to Bayesian Statistics for Data Science

    Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Predictive Modeling, Statistical Methods, Data Ethics, Data Science, Probability, Regression Analysis, Probability Distribution

    Intermediate · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics

    ★ 3.7 (9) · Mixed · Course · 1 - 4 Weeks

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • U

    University of Colorado Boulder

    Statistical Estimation for Data Science and AI

    Skills you'll gain: Statistical Inference, Statistical Methods, Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Applied Mathematics, Probability Distribution, Probability, Artificial Intelligence

    ★ 4.1 (91) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • L

    Logical Operations

    PCEP: Python Conditionals, Loops, Functions, and Exceptions

    Skills you'll gain: Code Reusability, Program Development, Python Programming, Maintainability, Programming Principles, Debugging, Computer Programming, Software Development, Computational Logic

    Mixed · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods, Classification Algorithms, Calculus

    Intermediate · Course · 1 - 3 Months

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • G

    Google

    Functions and Conditional Statements

    Skills you'll gain: Code Reusability, Computational Logic, Scripting Languages, Functional Design, Computer Programming

    ★ 4.9 (26) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Pennsylvania

    Modeling Risk and Realities

    Skills you'll gain: Risk Modeling, Risk Management, Mathematical Modeling, Statistical Modeling, Predictive Modeling, Risk Analysis, Data Modeling, Simulation and Simulation Software, Statistical Methods, Probability Distribution, Statistics, Data-Driven Decision-Making, Decision Making, Statistical Hypothesis Testing, Model Optimization, Microsoft Excel, Spreadsheet Software

    ★ 4.6 (2.2K) · Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Kotlin For Beginners: Data Types and Conditional Expressions

    Skills you'll gain: Kotlin, Maintainability, Application Development, Software Documentation, Programming Principles, Program Development, Data Validation, Computational Logic

    Beginner · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Jupyter, Regression Analysis, Probability & Statistics, Model Evaluation, Statistical Software, Probability Distribution, Data Science, Markov Model, Statistics, Statistical Programming, Statistical Inference, Statistical Methods, Simulations, Data Visualization, Python Programming

    ★ 4 (109) · Beginner · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1…789…69

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

  • Computational and Graphical Models in Probability: Johns Hopkins University
  • Hypothesis Testing in Public Health : Johns Hopkins University
  • Bayesian Statistical Concepts and Methods: Arizona State University
  • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
  • Machine Learning Algorithms: Sungkyunkwan University
  • Statistical Estimation for Data Science and AI: University of Colorado Boulder
  • PCEP: Python Conditionals, Loops, Functions, and Exceptions: Logical Operations
  • Foundations for Machine Learning: Dartmouth College
  • Functions and Conditional Statements: Google
  • Modeling Risk and Realities: University of Pennsylvania

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