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

    Skills you'll gain: Sampling (Statistics), Statistical Inference, Data Visualization, Descriptive Statistics, Data Visualization Software, Jupyter, Histogram, Statistical Methods, Matplotlib, Statistics, Data Analysis, Box Plots, Probability & Statistics, Exploratory Data Analysis, Data Manipulation, Data Management, Python Programming

  • Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Probability & Statistics, Statistics, Data Science

  • Status: Free Trial

    Skills you'll gain: Probability, Linear Algebra, Probability & Statistics, Statistics, Mathematical Theory & Analysis, Computational Logic, Applied Mathematics, Advanced Mathematics, Computer Science, Algebra, Physics

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Biostatistics, Statistical Visualization, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Probability & Statistics, Statistical Methods, Probability Distribution, Statistics, Public Health, Sample Size Determination

  • Status: Free Trial

    Imperial College London

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

  • Status: Preview

    University of North Texas

    Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement

  • Status: Free Trial

    Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Experimentation, Research Design, Research, Peer Review, Probability & Statistics, Statistical Inference, Statistical Methods, Media and Communications

  • Status: New
    Status: Preview

    O.P. Jindal Global University

    Skills you'll gain: Econometrics, Regression Analysis, Statistical Hypothesis Testing, Probability & Statistics, Statistical Modeling, Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Economics, Statistical Inference, Probability Distribution

  • Status: Preview

    Skills you'll gain: Scientific Methods, Research, General Science and Research, Critical Thinking, Probability, Research Design, Bayesian Statistics, Probability & Statistics, Experimentation, Investigation, Decision Making

  • Status: Free Trial

    Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking

  • Status: Free Trial

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Integral Calculus

  • Status: Preview

    Universidad de los Andes

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Analysis, Regression Analysis, Sampling (Statistics), Statistical Analysis, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference

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