Statistical Inference

Statistical inference is a branch of statistics that is concerned with making predictions or conjectures about a population based on observed data from a sample of that population. Coursera's Statistical Inference catalogue teaches you how to make accurate and insightful predictions using data. You'll learn about hypothesis testing, confidence intervals, regression analysis, and more. This skill is crucial to many fields, including data science, economics, psychology, and more. By mastering Statistical Inference, you can design and analyze experiments, make data-driven decisions, and contribute to informed policy making. This knowledge can help you in roles such as a data analyst, data scientist, statistician, or researcher.
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Explore the Statistical Inference Course Catalog

  • Status: New
    Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Probability, Statistical Inference, Markov Model, Estimation, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Data Literacy, Statistical Analysis, Sampling (Statistics), Bayesian Statistics, Applied Mathematics, Mathematical Modeling, Statistical Modeling, Data Science, Theoretical Computer Science, Data Analysis, Machine Learning Algorithms, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    310 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    4.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Probability, Statistical Inference, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Data Literacy, Statistical Analysis, Sampling (Statistics), Bayesian Statistics, Data Ethics, Applied Mathematics, Data Science, Theoretical Computer Science, Data Analysis, Quantitative Research, Descriptive Statistics, Artificial Intelligence

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    326 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling

    4.4
    Rating, 4.4 out of 5 stars
    775 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Bayesian Statistics, Statistical Analysis, R Programming, Data Analysis, Statistical Modeling, Probability & Statistics, Probability, Correlation Analysis, Descriptive Statistics, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

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  • Status: Free Trial

    University of California, Santa Cruz

    Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Presentation, Statistics, Probability, Statistical Analysis, Statistical Software, Advanced Analytics, R (Software), Data Analysis, Mathematical Modeling, Microsoft Excel, Markov Model, Statistical Methods, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    3.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview

    Stanford University

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    4.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview

    Eindhoven University of Technology

    Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Sample Size Determination, Research, R Programming, Data Sharing

    4.9
    Rating, 4.9 out of 5 stars
    799 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial

    University of Michigan

    Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Statistics, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Data Analysis, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    3.3K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview

    University of Leeds

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, R (Software), Data Collection, Statistical Inference, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Descriptive Statistics, Sampling (Statistics), Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

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  • Johns Hopkins University
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