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    Results for "continuous random variables"

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera Instructor Network

      SonarQube Mastery: Continuous Code Inspection & Security

      Skills you'll gain: Continuous Integration, Code Coverage, Code Review, Vulnerability, CI/CD, Secure Coding, Application Security, Vulnerability Scanning, DevSecOps, Vulnerability Assessments, Software Quality Assurance, Maintainability, Software Quality (SQA/SQC), Software Technical Review, Configuration Management, Application Deployment, Security Management, Data Integration, Quality Improvement, Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Continuous Integration and Continuous Delivery (CI/CD)

      Skills you'll gain: CI/CD, Continuous Integration, Jenkins, Devops Tools, DevOps, Infrastructure as Code (IaC), Continuous Delivery, OpenShift, Git (Version Control System), GitHub, IT Automation, Kubernetes, Containerization, Application Deployment, Automation, YAML

      4.7
      Rating, 4.7 out of 5 stars
      ·
      227 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Inferential Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Applied Machine Learning, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 2: Inference

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      488 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      494 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Calculus through Data & Modelling: Vector Calculus

      Skills you'll gain: Integral Calculus, Calculus, Mathematical Theory & Analysis, Advanced Mathematics, Visualization (Computer Graphics), Applied Mathematics, Mathematical Modeling, Spatial Data Analysis, Geometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Colorado Boulder

      Introduction to Bayesian Statistics for Data Science

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

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      Northeastern University

      Foundations of Statistical Learning & Algorithms

      Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 1

      Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 2

      Skills you'll gain: Probability, Probability Distribution, Statistical Methods, Sampling (Statistics), Statistical Inference, Simulations, Statistical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Mastering JavaScript Variables – VAR, LET & CONST in 2025

      Skills you'll gain: Javascript, Browser Compatibility, Debugging, Maintainability

      Intermediate · Course · 1 - 3 Months

    1…567…163

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

    • SonarQube Mastery: Continuous Code Inspection & Security: Coursera Instructor Network
    • Continuous Integration and Continuous Delivery (CI/CD): IBM
    • Inferential Statistics: Duke University
    • Probabilistic Graphical Models 1: Representation: Stanford University
    • Probabilistic Graphical Models 2: Inference: Stanford University
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Calculus through Data & Modelling: Vector Calculus: Johns Hopkins University
    • Introduction to Bayesian Statistics for Data Science: University of Colorado Boulder
    • Foundations of Statistical Learning & Algorithms: Northeastern University
    • Statistics and Data Analysis with Excel, Part 1: University of Colorado Boulder

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