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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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    U

    University of Maryland, College Park

    Cómo combinar y analizar datos complejos

    Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Statistical Modeling, Descriptive Statistics

    Mixed · Course · 1 - 4 Weeks

  • 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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    C

    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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    N

    National Taiwan University

    商管統計資料分析二 (Analytics for Business and Management (II))

    Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Methods, Data Visualization, R Programming, Statistical Analysis, Case Studies, Business Analytics, Advanced Analytics, Analytics, Data Analysis, Statistical Hypothesis Testing, Variance Analysis

    Intermediate · Course · 1 - 3 Months

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    G

    Google

    The Importance of Integrity

    Skills you'll gain: Data Integrity, Data Cleansing, Data Quality, Data Validation, Sample Size Determination, Sampling (Statistics), Data Analysis, Statistics, Statistical Analysis

    Beginner · Course · 1 - 4 Weeks

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    F

    Fundação Instituto de Administração

    Pesquisa de Mercado com Métodos Quantitativos

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

    Beginner · Course · 1 - 4 Weeks

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    J

    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

  • G

    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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    I

    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

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    C

    Case Western Reserve University

    Case Studies in Geostatistical Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Geospatial Information and Technology, Geographic Information Systems, Data Cleansing, Data Analysis, Statistical Modeling, Statistical Analysis, Oil and Gas, Estimation, Simulation and Simulation Software, Data Integration

    Intermediate · Course · 1 - 3 Months

Searches related to probability

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an intuitive introduction to probability
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In summary, here are 10 of our most popular probability courses

  • Cómo combinar y analizar datos complejos: University of Maryland, College Park
  • Alteryx Advanced: Packt
  • Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
  • 商管統計資料分析二 (Analytics for Business and Management (II)): National Taiwan University
  • The Importance of Integrity: Google
  • Pesquisa de Mercado com Métodos Quantitativos: Fundação Instituto de Administração
  • Nouvelles approches pour mesurer la santé de la population: Johns Hopkins University
  • Preparing and Aggregating Data for Visualizations using Cloud Dataprep: Google Cloud
  • Data Science Fundamentals, Part 2: Pearson
  • Statistical Learning for Engineering Part 2: Northeastern University

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