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.
44credentials
3online degrees
221courses

Results for "probability & statistics"

  • Status: Preview

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy

  • Status: Free Trial

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

  • Status: New
    Status: Free Trial

    Skills you'll gain: Regression Analysis, Statistical Analysis, Time Series Analysis and Forecasting, R Programming, Statistical Hypothesis Testing, Probability & Statistics, Statistical Modeling, Statistical Methods, Predictive Modeling, Generative AI, Statistical Inference, Forecasting, Descriptive Statistics, Power BI

  • Status: Free Trial

    Skills you'll gain: Regression Analysis, Microsoft Excel, Statistical Hypothesis Testing, Business Analytics, Data-Driven Decision-Making, Data Visualization, Business Analysis, Statistical Analysis, Analytics, Data Analysis, Correlation Analysis, Case Studies, Probability & Statistics, Variance Analysis, Forecasting, Data Manipulation, Quality Control

  • Status: Free Trial

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Data Ethics, Statistical Analysis, Quantitative Research, Statistical Inference, Statistics, Sample Size Determination, Sampling (Statistics)

  • Status: Free Trial

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Sample Size Determination, Statistical Inference, Estimation, Statistics, Probability & Statistics, Sampling (Statistics), Statistical Analysis, Microsoft Excel, Excel Formulas, Data Analysis, Decision Making

  • Status: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Statistical Programming, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Probability & Statistics, Dimensionality Reduction

  • Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

  • Status: Free Trial

    University of Illinois Urbana-Champaign

    Skills you'll gain: Statistical Inference, Business Analytics, Statistical Analysis, Statistical Hypothesis Testing, Regression Analysis, Data-Driven Decision-Making, Statistical Methods, Probability & Statistics, Predictive Analytics, Microsoft Excel, Descriptive Analytics

  • Status: Preview

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Probability & Statistics, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability

  • Status: Free Trial

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking