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    Results for "conditional probability"

    • 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, Scatter Plots, 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: Mixture Models

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Create Your First Python Program From UST

      Skills you'll gain: Python Programming, Command-Line Interface, Computer Programming, Scripting, Program Development, Scripting Languages, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • K

      Kennesaw State University

      Six Sigma Advanced Define and Measure Phases

      Skills you'll gain: Process Capability, Team Management, Team Building, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Probability Distribution, Statistical Methods, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Data Analysis, Data Collection, Performance Measurement, Pareto Chart, Descriptive Statistics, Process Improvement, Quality Improvement, Business Process

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

      Intermediate · Course · 1 - 3 Months

    • D

      Databricks

      Introduction to Computational Statistics for Data Scientists

      Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Classification And Regression Tree (CART), Jupyter, Regression Analysis, Statistical Programming, Statistical Analysis, Statistical Machine Learning, Probability Distribution, Data Science, Markov Model, Simulations, Data Visualization, Probability & Statistics, Development Environment, Statistical Inference, Algorithms

      4
      Rating, 4 out of 5 stars
      ·
      109 reviews

      Beginner · Specialization · 1 - 3 Months

    • 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, Statistical Methods, Probability Distribution

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

      Intermediate · 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, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Methods, Statistical Inference, Regression Analysis, Data Analysis, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • K

      Kennesaw State University

      Six Sigma Tools for Improve and Control

      Skills you'll gain: Six Sigma Methodology, Process Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Lean Six Sigma, Kaizen Methodology, Regression Analysis, Probability & Statistics, Statistical Process Controls, Process Analysis, Continuous Improvement Process, Quality Management, Project Management, Quality Control, Cost Benefit Analysis, Document Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Regression Analysis, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Statistical Modeling, Scikit Learn (Machine Learning Library), Dimensionality Reduction, Feature Engineering, Data Processing, Pandas (Python Package), Data Manipulation, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      730 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Illinois Tech

      Bayesian Computational Statistics

      Skills you'll gain: Bayesian Statistics, 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

    • J

      Johns Hopkins University

      Algebra: Elementary to Advanced - Equations & Inequalities

      Skills you'll gain: Algebra, Arithmetic, Mathematical Modeling, Graphing, Probability & Statistics, Calculus

      4.8
      Rating, 4.8 out of 5 stars
      ·
      582 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, Data Manipulation, Statistical Modeling, Machine Learning, 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…53

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

    • Foundations of Data Science: K-Means Clustering in Python: University of London
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Create Your First Python Program From UST: Coursera Project Network
    • Six Sigma Advanced Define and Measure Phases: Kennesaw State University
    • Introduction to Computational Statistics for Data Scientists: Databricks
    • Sample-based Learning Methods: University of Alberta
    • Bayesian Statistics: Time Series Analysis: University of California, Santa Cruz
    • Six Sigma Tools for Improve and Control: Kennesaw State University
    • Supervised Machine Learning: Regression: IBM
    • Bayesian Computational Statistics: Illinois Tech

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