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  • Bayesian Statistics

Bayesian Statistics Courses

Bayesian statistics courses can help you learn probability distributions, Bayesian inference, and statistical modeling. You can build skills in hypothesis testing, predictive analytics, and decision-making under uncertainty. Many courses introduce tools like R, Python, and Stan, which are commonly used for implementing Bayesian methods and analyzing data. You'll also explore concepts like Markov Chain Monte Carlo (MCMC) techniques and Bayesian networks, equipping you with practical knowledge for data-driven decision-making in various fields.


More to explore:

Popular Bayesian Statistics Courses and Certifications


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    D

    Duke University

    Behavioral Finance

    Skills you'll gain: Behavioral Economics, Decision Making, Financial Planning, Finance, Consumer Behaviour, Financial Analysis, Economics, Psychology, Probability & Statistics, Risk Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    G

    Georgia Institute of Technology

    Fundamentals of Engineering Exam Review

    Skills you'll gain: Structural Analysis, Probability & Statistics, Hydraulics, Statistics, Mechanical Engineering, Probability, Engineering, Mechanics, Hydrology, Civil Engineering, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry, Trigonometry

    4.7
    Rating, 4.7 out of 5 stars
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    615 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of Michigan

    How to Describe Data

    Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Descriptive Statistics, Data Storytelling, Statistics, Data Analysis, Statistical Visualization, Sampling (Statistics), Data Validation

    4.7
    Rating, 4.7 out of 5 stars
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    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.7K reviews

    Intermediate · Course · 1 - 4 Weeks

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    R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Free Trial
    D

    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    C

    Coursera

    Detect AI Anomalies: Real-Time Outliers

    Skills you'll gain: Anomaly Detection, MLOps (Machine Learning Operations), Event Monitoring, Continuous Monitoring, System Monitoring, Unsupervised Learning, Threat Detection, Statistical Analysis, Exploratory Data Analysis, Trend Analysis, Real Time Data, Statistical Methods, Performance Tuning, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Emory University

    Foundations of Marketing Analytics

    Skills you'll gain: Pivot Tables And Charts, Customer Analysis, Probability Distribution, Customer Demand Planning, Marketing Analytics, Forecasting, Consumer Behaviour, Descriptive Statistics, Social Media Marketing, Exploratory Data Analysis, Probability, Statistical Analysis, Target Market, Marketing Effectiveness, Social Media, Model Evaluation, Business Analysis, Time Series Analysis and Forecasting, Microsoft Excel, Marketing

    4.3
    Rating, 4.3 out of 5 stars
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    528 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    SAS

    Getting Started with SAS Programming

    Skills you'll gain: SAS (Software), Data Import/Export, Data Access, Data Manipulation, Statistical Programming, Data Cleansing, Exploratory Data Analysis, Data Preprocessing, Data Analysis, Data Transformation, SQL, Microsoft Excel, Descriptive Statistics

    4.8
    Rating, 4.8 out of 5 stars
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    3.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Design of Experiments

    Skills you'll gain: Experimentation, Sample Size Determination, Research Design, Regression Analysis, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Statistical Hypothesis Testing, Design Strategies, Sampling (Statistics), Probability & Statistics, Mathematical Modeling, Analysis, Model Evaluation, Data Transformation, Descriptive Statistics, Probability Distribution, Variance Analysis, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    377 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    International Business Essentials

    Skills you'll gain: Financial Statements, Business Planning, Sampling (Statistics), Management Training And Development, Descriptive Statistics, Organizational Structure, Change Management, Data Presentation, Professional Networking, Business Mathematics, Verbal Communication Skills, Team Building, Team Management, Business Strategy, Professionalism, Resource Allocation, Competitive Analysis, Linear Algebra, Mathematical Modeling, International Finance

    4.6
    Rating, 4.6 out of 5 stars
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    2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing with Classification and Vector Spaces

    Skills you'll gain: Natural Language Processing, Supervised Learning, Embeddings, Dimensionality Reduction, Machine Learning Methods, Text Mining, Statistical Machine Learning, Classification Algorithms, Feature Engineering, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    4.6K reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular bayesian statistics courses

  • Behavioral Finance: Duke University
  • Fundamentals of Engineering Exam Review: Georgia Institute of Technology
  • How to Describe Data: University of Michigan
  • Applied Machine Learning in Python: University of Michigan
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Machine Learning Fundamentals: Dartmouth College
  • Detect AI Anomalies: Real-Time Outliers: Coursera
  • Foundations of Marketing Analytics: Emory University
  • Getting Started with SAS Programming: SAS
  • Design of Experiments: Arizona State University

Skills you can learn in Probability And Statistics

R Programming (19)
Inference (16)
Linear Regression (12)
Statistical Analysis (12)
Statistical Inference (11)
Regression Analysis (10)
Biostatistics (9)
Bayesian (7)
Logistic Regression (7)
Probability Distribution (7)
Bayesian Statistics (6)
Medical Statistics (6)

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