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  • Probability Distribution

Probability Distribution Courses

Probability distribution courses can help you learn about normal, binomial, and Poisson distributions, as well as their applications in statistics and data analysis. You can build skills in interpreting data, calculating probabilities, and making informed predictions based on statistical models. Many courses introduce tools like R, Python, and Excel, that support visualizing distributions and performing simulations, helping you apply these concepts in practical scenarios such as risk assessment and decision-making.


Popular Probability Distribution Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Prediction Models with Sports Data

    Skills you'll gain: Logistic Regression, Forecasting, Data Processing, Predictive Modeling, Statistical Modeling, Data Analysis, Analytics, Regression Analysis, Pandas (Python Package), Model Evaluation, Python Programming, Probability, Ethical Standards And Conduct

    4.5
    Rating, 4.5 out of 5 stars
    ·
    41 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Sampling People, Networks and Records

    Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Analysis, Statistical Software, Probability & Statistics, Probability, Network Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    109 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    N

    Northeastern University

    Foundations for Data Analytics Part 2

    Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Probability & Statistics, Text Mining, Statistical Analysis, Probability Distribution, Data Analysis, Network Analysis, Exploratory Data Analysis, Feature Engineering, Data Structures, Unstructured Data, Data Cleansing, Data Preprocessing, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Kalman Filter Boot Camp (and State Estimation)

    Skills you'll gain: Linear Algebra, Matlab, Statistical Modeling, Simulations, Statistical Analysis, Time Series Analysis and Forecasting, Probability & Statistics, Numerical Analysis, Forecasting

    4.9
    Rating, 4.9 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    SAS Machine Learning Engineer

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Data Preprocessing, Exploratory Data Analysis, Logistic Regression, Statistical Machine Learning, Model Evaluation, Supervised Learning, Decision Tree Learning, Probability & Statistics, Statistics, Machine Learning Software, Classification And Regression Tree (CART), Workflow Management, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    104 reviews

    Advanced · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Applying Python for Data Analysis

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Probability & Statistics, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Data Processing, Data Cleansing, Data Preprocessing, Time Series Analysis and Forecasting, Data Import/Export, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Digital Marketing Institute

    Twitter, LinkedIn, and YouTube Marketing

    Skills you'll gain: LinkedIn, Social Media Marketing, Social Media, Digital Advertising, Marketing, B2B Sales, Professional Networking, Advertising Campaigns, Social Media Strategy, Marketing Analytics, Video Production, Advertising, Selling Techniques, Branding, Content Creation, Target Audience

    4.4
    Rating, 4.4 out of 5 stars
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    102 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Decision Tree Learning, Machine Learning, Data Preprocessing, Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Process Optimization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    Technical University of Munich (TUM)

    Street Experiments for Sustainable and Resilient cities

    Skills you'll gain: Social Impact, Experimentation, Program Evaluation, Community Development, Community Outreach, Sustainable Development, Systems Thinking, Research, Human Centered Design, Cultural Diversity, Creative Problem-Solving, Collaboration, Case Studies, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
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    44 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Classification Algorithms, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    77 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Lausanne

    La science forensique au tribunal: témoin digne de foi ?

    Skills you'll gain: Statistical Methods, Criminal Investigation and Forensics, Court Systems, Report Writing, Probability & Statistics, Technical Communication, Scientific Methods, Analysis, Case Studies, Ethical Standards And Conduct

    4.8
    Rating, 4.8 out of 5 stars
    ·
    72 reviews

    Beginner · Course · 1 - 3 Months

Searches related to probability distribution

using probability distributions for real world problems in r
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In summary, here are 10 of our most popular probability distribution courses

  • Prediction Models with Sports Data: University of Michigan
  • Sampling People, Networks and Records: University of Michigan
  • Foundations for Data Analytics Part 2: Northeastern University
  • Kalman Filter Boot Camp (and State Estimation): University of Colorado System
  • SAS Machine Learning Engineer: SAS
  • Applying Python for Data Analysis: Coursera
  • Twitter, LinkedIn, and YouTube Marketing: Digital Marketing Institute
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Street Experiments for Sustainable and Resilient cities: Technical University of Munich (TUM)
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College

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