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: New
    Status: Free Trial

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

  • Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Probability Distribution, Statistical Inference, Sampling (Statistics), Probability, Statistical Reporting, Statistical Modeling, Exploratory Data Analysis, Statistical Methods, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Experimentation, Data Presentation, Estimation, Statistical Visualization, Correlation Analysis, Reliability

  • Pontificia Universidad Católica de Chile

    Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Diagnostic Tests, Biostatistics, Healthcare Ethics, Social Determinants Of Health, Health Disparities, Statistical Hypothesis Testing, Descriptive Statistics, Public Health, Health Policy, Health Systems, Health Promotion, Health Technology, Scientific Methods, Health Equity, Chronic Diseases, Probability & Statistics, Infectious Diseases, Occupational Health

  • Universidad de los Andes

    Skills you'll gain: Real-Time Operating Systems, Supervised Learning, Semantic Web, Unsupervised Learning, LLM Application, Cloud-Native Computing, Reinforcement Learning, Continuous Deployment, Computer Vision, Deep Learning, Natural Language Processing, MLOps (Machine Learning Operations), Biomedical Engineering, Artificial Intelligence, Cost Management, Game Theory, Data Ethics, Probability & Statistics, Machine Learning Methods, Responsible AI

  • Skills you'll gain: Supervised Learning, Unsupervised Learning, Artificial Intelligence, Data Ethics, Dimensionality Reduction, Probability & Statistics, Responsible AI, Machine Learning Methods, Reinforcement Learning, Machine Learning, Applied Machine Learning, Linear Algebra, Classification And Regression Tree (CART), Machine Learning Algorithms, Natural Language Processing, Statistical Machine Learning, Statistical Methods, Predictive Modeling, Bayesian Statistics, Scientific Visualization

  • University of North Texas

    Skills you'll gain: Operations Management, Mediation, Compensation and Benefits, Organizational Change, Event Management, Grammar, Sales Process, Data Mining, Data Visualization, Marketing Planning, Design Thinking, Global Marketing, Probability & Statistics, Social Studies, Cultural Diversity, Digital Media Strategy, Organizational Leadership, Political Sciences, Music History, Sociology

  • Skills you'll gain: Bash (Scripting Language), Relational Databases, User Research, Probability & Statistics, Data Storytelling, Graph Theory, Object Oriented Design, Theoretical Computer Science, Operating Systems, Android Development, Database Design, Encryption, Bioinformatics, Java Programming, Feature Engineering, Algorithms, TCP/IP, Version Control, Data Structures, Model View Controller

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