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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


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    Northeastern University

    Program Structure and Algorithms Part 2

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Pseudocode, Computational Thinking, Data Structures, Graph Theory, Network Analysis, Probability, Probability & Statistics

    Mixed · Course · 1 - 3 Months

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    University of Colorado Boulder

    Engineering Genetic Circuits: Abstraction Methods

    Skills you'll gain: Markov Model, Engineering Analysis, Mathematical Modeling, Systems Analysis, Biological Engineering, Simulation and Simulation Software, Chemical Engineering, Verification And Validation, Differential Equations, Probability

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    University of Maryland, College Park

    Cómo manejar datos faltantes

    Skills you'll gain: Sampling (Statistics), Data Quality, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Data Analysis, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling, Statistical Inference

    Mixed · Course · 1 - 3 Months

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    Johns Hopkins University

    Analysis and Interpretation of Large-Scale Programs

    Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, STATA (Software), Data Quality, Research Design

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Alteryx Advanced

    Skills you'll gain: Data Cleansing, Data Manipulation, Advanced Analytics, Applied Machine Learning, Data Wrangling, Fraud detection, Data Transformation, Predictive Modeling, Data Processing, Machine Learning, Machine Learning Algorithms, Sampling (Statistics), Data Mining, Data Integration, Database Management, Workflow Management, Complex Problem Solving

    Intermediate · Course · 1 - 3 Months

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    Case Western Reserve University

    Using R for Geostatistical Geospatial Modeling

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

    Intermediate · Course · 1 - 3 Months

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    Johns Hopkins University

    Nouvelles approches pour mesurer la santé de la population

    Skills you'll gain: Survey Creation, Epidemiology, Data Collection, Public Health, Health Equity, Health Policy, Health Informatics, Sampling (Statistics), Health Disparities, Health Assessment, Health Information Management, Data Integration, Electronic Medical Record System, Continuous Monitoring, Information Systems

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Data Analysis, Data Manipulation, Data Transformation, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

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    Google Cloud

    Preparing and Aggregating Data for Visualizations using Cloud Dataprep

    Skills you'll gain: Data Visualization Software, Data Wrangling, Data Manipulation, Google Cloud Platform, Data Import/Export, Data Transformation, Data Cleansing, Extract, Transform, Load, Data Analysis, Sampling (Statistics), Course Development

    Beginner · Project · Less Than 2 Hours

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    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, A/B Testing, Matplotlib, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Generative Model Architectures

    Intermediate · Course · 1 - 3 Months

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    IIT Roorkee

    Foundations of Advanced Wireless Communication

    Skills you'll gain: Communication Systems, Wireless Networks, Digital Communications, Telecommunications, Network Architecture, Emerging Technologies, Network Planning And Design, Algorithms, System Design and Implementation, Mathematical Modeling, Estimation

    Intermediate · Course · 3 - 6 Months

Searches related to probability

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probability and statistics: to p or not to p?
probability theory and regression for predictive analytics
an intuitive introduction to probability
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In summary, here are 10 of our most popular probability courses

  • Program Structure and Algorithms Part 2: Northeastern University
  • Engineering Genetic Circuits: Abstraction Methods: University of Colorado Boulder
  • Cómo manejar datos faltantes: University of Maryland, College Park
  • Analysis and Interpretation of Large-Scale Programs: Johns Hopkins University
  • Alteryx Advanced: Packt
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • Nouvelles approches pour mesurer la santé de la population: Johns Hopkins University
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Preparing and Aggregating Data for Visualizations using Cloud Dataprep: Google Cloud
  • Data Science Fundamentals, Part 2: Pearson

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