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: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Data Analysis, Supervised Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Data Science, Predictive Modeling, Feature Engineering, Data Mining, Machine Learning, Bayesian Statistics, Probability & Statistics

  • Status: Preview

    Skills you'll gain: Research Methodologies, Research Design, Surveys, Research, Scientific Methods, Data Collection, Social Sciences, Experimentation, Qualitative Research, Sample Size Determination, Probability & Statistics, Ethical Standards And Conduct

  • Status: Preview

    University of Colorado System

    Skills you'll gain: Epidemiology, Biostatistics, Statistical Analysis, Data Quality, Statistical Modeling, Probability & Statistics, Molecular Biology, Statistical Methods, Statistical Hypothesis Testing, Regression Analysis, Data Validation, Biology

  • Status: Free Trial

    Skills you'll gain: Statistical Inference, Predictive Analytics, R Programming, Probability & Statistics, Classification And Regression Tree (CART), Statistical Modeling, Statistical Methods, Biostatistics, Regression Analysis, Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis, Risk Analysis, Descriptive Statistics

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Predictive Analytics, Statistical Modeling, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm

  • Status: New
    Status: Free Trial

    Case Western Reserve University

    Skills you'll gain: Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Descriptive Statistics, Statistical Modeling, R Programming, Geographic Information Systems, Statistical Analysis, R (Software), Probability & Statistics, Ggplot2, Oil and Gas, Data Analysis, Simulations, Statistical Methods, Rmarkdown, Data Cleansing, Box Plots, Plot (Graphics)

  • Status: Free Trial

    Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Statistical Hypothesis Testing, Supervised Learning, Probability Distribution

  • Status: Free Trial

    Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, R Programming, Predictive Modeling

  • Status: Free Trial

    Pontificia Universidad Católica de Chile

    Skills you'll gain: Portfolio Management, Investments, Financial Market, Risk Management, Financial Trading, Asset Management, Capital Markets, Equities, Derivatives, Securities Trading, Probability & Statistics

  • Status: Preview

    Ball State University

    Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Data Processing, Sampling (Statistics), Data Science, Data Wrangling, R Programming, Simulations, Data Manipulation, Statistical Methods, Machine Learning Algorithms, Responsible AI, Data Structures

  • Status: Free Trial

    Skills you'll gain: Supervised Learning, Computer Vision, Machine Learning Methods, Matplotlib, Data Visualization, Probability & Statistics, Deep Learning, Statistical Machine Learning, Artificial Intelligence, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Machine Learning, Seaborn, Data Science, Programming Principles, Python Programming, Applied Machine Learning, Statistical Inference

  • Status: Preview

    University of Colorado Boulder

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, ChatGPT, Image Analysis, Prompt Engineering, Natural Language Processing, Deep Learning, Probability & Statistics

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