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Probability Courses

Probability courses can help you learn statistical reasoning, risk assessment, hypothesis testing, and the fundamentals of random variables. You can build skills in interpreting data distributions, calculating expected values, and applying Bayes' theorem in various contexts. Many courses introduce tools like R, Python, and Excel for data analysis, along with methods for simulating probabilistic models and visualizing outcomes.


Popular Probability Courses and Certifications


  • C

    Coursera

    RStudio for Six Sigma - Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Logistic Regression, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Probability & Statistics, Data Literacy, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    American Psychological Association

    Measures of Central Tendency

    Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistics, Statistical Analysis, Data Literacy, Statistical Visualization, Data Analysis, Graphing, Arithmetic

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Analyze Data in Azure ML Studio

    Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Feature Engineering, Data Analysis, Statistics, Exploratory Data Analysis, Probability & Statistics, Data Visualization Software, Correlation Analysis, Applied Machine Learning

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Michigan

    파이썬의 응용 소셜 네트워크 분석

    Skills you'll gain: Social Network Analysis, Network Analysis, Graph Theory, Predictive Analytics, Predictive Modeling, Pandas (Python Package), Matplotlib, Probability Distribution, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Bayesian Network, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics, Decision Making

    5
    Rating, 5 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    OpenAI: Consistent Response Strategies

    Skills you'll gain: Prompt Engineering, OpenAI, Large Language Modeling, ChatGPT, LLM Application, Generative AI, Technical Communication, AI Personalization, Context Management, Transfer Learning, Sampling (Statistics)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Network Modeling and Analysis in Python

    Skills you'll gain: Social Network Analysis, Bayesian Network, Data Analysis, Python Programming, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Nacional Autónoma de México

    Evolución: Teoría sintética

    Skills you'll gain: Biology, Life Sciences, World History, Taxonomy, Mathematical Modeling, Probability & Statistics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Necessary Condition Analysis (NCA)

    Skills you'll gain: Analysis, Data Analysis, Statistical Reporting, Analytical Skills, Exploratory Data Analysis, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing, Data Collection

    4.9
    Rating, 4.9 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Logistic Regression and Prediction for Health Data

    Skills you'll gain: Logistic Regression, Model Evaluation, Statistical Inference, Predictive Analytics, R Programming, Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Lean Six Sigma Green Belt: Apply & Master Skills

    Skills you'll gain: Lean Six Sigma, Lean Methodologies, Statistical Hypothesis Testing, Correlation Analysis, Process Improvement, Sampling (Statistics), Project Management, Data Literacy, Regression Analysis, Process Capability, Goal Setting, Statistical Analysis, Scatter Plots, Customer experience improvement, Quality Management, Microsoft Excel, Process Mapping, Risk Management, Root Cause Analysis

    5
    Rating, 5 out of 5 stars
    ·
    46 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python for Data Science: Real Projects & Analytics

    Skills you'll gain: Descriptive Statistics, Model Evaluation, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Integrated Development Environments, Computer Networking, Python Programming, Server Side

    4.5
    Rating, 4.5 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to probability

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1…444546…52

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

  • RStudio for Six Sigma - Hypothesis Testing: Coursera
  • Measures of Central Tendency: American Psychological Association
  • Analyze Data in Azure ML Studio: Coursera
  • 파이썬의 응용 소셜 네트워크 분석: University of Michigan
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • OpenAI: Consistent Response Strategies: Coursera
  • Network Modeling and Analysis in Python: University of Michigan
  • Evolución: Teoría sintética: Universidad Nacional Autónoma de México
  • Necessary Condition Analysis (NCA): Erasmus University Rotterdam
  • Logistic Regression and Prediction for Health Data: University of Michigan

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