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    Results for "probability calculation"

    • I

      Illinois Tech

      Bayesian Computational Statistics

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

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • K

      Kennesaw State University

      Six Sigma Advanced Define and Measure Phases

      Skills you'll gain: Process Capability, Team Management, Statistical Process Controls, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Analysis, Data Collection, Regression Analysis, Process Improvement, Quality Improvement, Business Process, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Machine Learning, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • R

      Rutgers the State University of New Jersey

      Supply Chain Sourcing

      Skills you'll gain: Strategic Sourcing, Supplier Relationship Management, Procurement, Supplier Management, Purchasing, Supply Management, Vendor Relationship Management, Supply Chain, Vendor Management, Decision Making, Risk Management, Cost Benefit Analysis

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

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Alberta

      Sample-based Learning Methods

      Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Regression Analysis, Machine Learning, Statistical Machine Learning, Predictive Modeling, Statistical Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      731 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Game Theory II: Advanced Applications

      Skills you'll gain: Game Theory, Bidding, Social Sciences, Resource Allocation, Political Sciences, Economics, Behavioral Economics, Mathematical Theory & Analysis, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      641 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of London

      Foundations of Data Science: K-Means Clustering in Python

      Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      716 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Time Series Analysis

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, R Programming, Bayesian Statistics, Statistical Modeling, Statistical Analysis, Statistical Inference, Regression Analysis, Data Analysis, Mathematical Modeling, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Statistics For Data Science

      Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

      3.9
      Rating, 3.9 out of 5 stars
      ·
      33 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Fundamentals of Scientific Research Under Uncertainty

      Skills you'll gain: Science and Research, Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Probability & Statistics, Bayesian Statistics, Research Methodologies, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      34 reviews

      Beginner · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      AI for Medical Prognosis

      Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Machine Learning, Statistical Methods, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      786 reviews

      Intermediate · Course · 1 - 4 Weeks

    1…131415…54

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

    • Bayesian Computational Statistics: Illinois Tech
    • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Supply Chain Sourcing: Rutgers the State University of New Jersey
    • Sample-based Learning Methods: University of Alberta
    • Supervised Machine Learning: Regression: IBM
    • Game Theory II: Advanced Applications: Stanford University
    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
    • Statistics For Data Science: Coursera Project Network

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