Probability & Statistics

Probability and Statistics is a branch of mathematics dealing with the analysis of random phenomena. Coursera's Probability & Statistics skill catalogue teaches you to understand, analyze, and interpret data, patterns, and statistical relationships. You'll learn key concepts such as mean, median, mode, variance, standard deviation, correlation, regression, probability distributions, and hypothesis testing. You will also explore more complex concepts like Bayesian inference, predictive modeling, and machine learning. These skills are crucial for a broad range of fields including data science, economics, engineering, and social sciences.
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Results for "probability & statistics"

  • Status: Preview

    Skills you'll gain: Persuasive Communication, Communication, Verbal Communication Skills, Public Speaking, Analysis, Probability & Statistics, Research, Data Presentation, Data Visualization, Persona (User Experience), Psychology

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Image Analysis, Diagnostic Radiology, Predictive Modeling, Data Processing, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Keras (Neural Network Library), Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Magnetic Resonance Imaging, Probability & Statistics, X-Ray Computed Tomography

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Statistical Analysis, Statistical Software, Probability & Statistics, Data Analysis, R (Software), Data Visualization, Statistical Inference, Variance Analysis, Sampling (Statistics)

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Probability & Statistics, Machine Learning, Regression Analysis, Data Manipulation

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Markov Model, Text Mining, Artificial Neural Networks, Machine Learning Methods, Data Processing, Algorithms, Probability & Statistics, Linear Algebra

  • Status: Preview

    University of Washington

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Analytics, Data Analysis, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Data Manipulation

  • Status: Free Trial

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy

  • Status: Free Trial
    Status: AI skills

    Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms

  • Status: New
    Status: Preview

    Skills you'll gain: Sample Size Determination, Six Sigma Methodology, Process Improvement, Quality Improvement, Data-Driven Decision-Making, Lean Methodologies, Statistical Process Controls, Process Analysis, Lean Manufacturing, Continuous Improvement Process, Predictive Modeling, Quality Management, Statistical Analysis, Regression Analysis, Probability & Statistics, Microsoft Excel, Statistical Hypothesis Testing

  • Status: Free Trial

    Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra

  • Status: Free Trial

    Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Research Design, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Data Science, Quantitative Research, Machine Learning, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution

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