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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: New
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    EDUCBA

    Statistics for Data Science with Python

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Data Visualization, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Probability, Model Evaluation, Correlation Analysis

    Mixed · Course · 1 - 4 Weeks

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    The George Washington University

    Vaccine Law and Policy

    Skills you'll gain: Law, Regulation, and Compliance, Health Equity, Informed Consent, Pharmaceuticals, Health Care Procedure and Regulation, Healthcare Ethics, Public Health and Disease Prevention, Health Disparities, Regulatory Compliance, Public Health, Health Policy, Advocacy, Policy Analysis, Intellectual Property, Patient Education And Counseling

    Mixed · Course · 1 - 3 Months

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    University of Glasgow

    Knowledge-First Social Epistemology

    Skills you'll gain: Media and Communications, Peer Review, Research, Cultural Responsiveness, Social Impact, Social Sciences, Investigation, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

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    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Descriptive Statistics, Box Plots, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, Simulations

    Intermediate · Course · 1 - 3 Months

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    American Psychological Association

    Measures of Correlation and Contingency

    Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Quantitative Research, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram

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    Rating, 4.6 out of 5 stars
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    Mixed · Course · 1 - 4 Weeks

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    Board Infinity

    Deploying and Scaling iOS Applications

    Skills you'll gain: Apple iOS, Apple Xcode, iOS Development, Core Data (Software), Secure Coding, Application Deployment, Scalability, Swift Programming, Performance Tuning, Application Security, Debugging, Application Performance Management, Application Programming Interface (API), Performance Testing, Encryption, JSON

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Facebook Insights: Crack the Algorithm

    Skills you'll gain: Content Performance Analysis, Facebook, Social Media Content, Analysis, Social Media, Drive Engagement, Social Media Strategy, Content Creation

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Logistic Regression Fundamentals: Analyze & Predict

    Skills you'll gain: Model Evaluation, Logistic Regression, SAS (Software), Predictive Modeling, Regression Analysis, Predictive Analytics, Feature Engineering, Analytics, Statistical Methods, Data Transformation, Statistical Modeling, Statistical Analysis, Business Analytics, Estimation, Probability

    Mixed · Course · 1 - 4 Weeks

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    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

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    Fundação Instituto de Administração

    Pesquisa de Mercado com Métodos Quantitativos

    Skills you'll gain: Quantitative Research, Survey Creation, Sampling (Statistics), Business Research, Data Collection, Market Research, Data Analysis, Research Methodologies, Statistical Analysis, Data Quality

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    K

    Kennesaw State University

    How Technology Will Shape Marketing with Jagdish Sheth

    Skills you'll gain: Digital Advertising, Marketing, MarTech, Market Dynamics, Advertising, Sales, Social Media, Digital Transformation, Marketing Strategy and Techniques, Digital Marketing, Real Time Data, Consultative Selling, Promotional Strategies

    Beginner · Course · 1 - 4 Weeks

Searches related to probability distribution

using probability distributions for real world problems in r
1…616263…65

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

  • Statistics for Data Science with Python: EDUCBA
  • Vaccine Law and Policy: The George Washington University
  • Knowledge-First Social Epistemology: University of Glasgow
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Measures of Correlation and Contingency: American Psychological Association
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Deploying and Scaling iOS Applications: Board Infinity
  • Facebook Insights: Crack the Algorithm: Coursera
  • Logistic Regression Fundamentals: Analyze & Predict: EDUCBA
  • Data Science Fundamentals Part 2: Unit 2: Pearson

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