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    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    1 active filter
    • Status: Free Trial
      Free Trial

      Johns Hopkins University

      Advanced Statistics for Data Science

      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
      ·
      763 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      803 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Data Storytelling, Data Visualization, Data Ethics, Exploratory Data Analysis, Sampling (Statistics), Data Presentation, Data Visualization Software, Feature Engineering, Regression Analysis, Descriptive Statistics, Statistical Hypothesis Testing, Advanced Analytics, Data Analysis, Tableau Software, Data Science, Statistical Analysis, Machine Learning, Object Oriented Programming (OOP), Interviewing Skills, Python Programming

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: New
      New

      Macquarie University

      Statistics and Data Analysis with Excel: Advanced

      Skills you'll gain: Data-Driven Decision-Making, Microsoft Excel, Forecasting, Regression Analysis, Business Analytics, Statistical Analysis, Time Series Analysis and Forecasting, Analytics, Statistical Methods, Advanced Analytics, Data Analysis, Statistics, Data Visualization Software, Probability & Statistics, Statistical Inference, Statistical Modeling, Variance Analysis

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Stanford University

      Probabilistic Graphical Models

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Embedded Software, Automation, Deep Learning, Software Architecture, Computer Graphics, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Visualization (Computer Graphics), Hardware Architecture, Estimation, Algorithms, Machine Learning Methods, Predictive Modeling, Scenario Testing, Spatial Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial

      Google

      Foundations of Data Science

      Skills you'll gain: Data Ethics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Literacy, Analytical Skills, Business Analytics, Data Storytelling, Data Science, Communication Strategies, Communication, Stakeholder Communications, Business Ethics, Workflow Management, Project Management, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.3K reviews

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial

      University of Michigan

      Network Modeling and Analysis in Python

      Skills you'll gain: Data Analysis, Python Programming, Jupyter

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial

      University of Colorado Boulder

      Advanced Visualizations using Tableau

      Skills you'll gain: Data Visualization Software, Tableau Software, Data Visualization, Data Analysis, Geospatial Mapping, Business Analytics, Data Presentation, Advanced Analytics, Spatial Analysis, Marketing Analytics, Data Science, Data Manipulation, Forecasting

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      University of California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Sampling (Statistics), Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial

      Google

      Regression Analysis: Simplify Complex Data Relationships

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Supervised Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Variance Analysis, Predictive Modeling, Probability & Statistics, Exploratory Data Analysis, Machine Learning, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      538 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Network Analysis, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    Searches related to statistics

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    In summary, here are 10 of our most popular statistics courses

    • Advanced Statistics for Data Science: Johns Hopkins University
    • The Power of Statistics: Google
    • Google Advanced Data Analytics: Google
    • Statistics and Data Analysis with Excel: Advanced: Macquarie University
    • Probabilistic Graphical Models: Stanford University
    • Self-Driving Cars: University of Toronto
    • Foundations of Data Science: Google
    • Network Modeling and Analysis in Python: University of Michigan
    • Advanced Visualizations using Tableau: University of Colorado Boulder
    • Bayesian Statistics: Capstone Project: University of California, Santa Cruz

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

    Frequently Asked Questions about Statistics

    Top statistics courses include Introduction to Statistics from Stanford University, Business Statistics and Analysis from Rice University, and Statistics with Python from the University of Michigan. These courses cover descriptive statistics, probability, hypothesis testing, and statistical modeling.‎

    Yes. You can start learning statistics on Coursera for free in two ways:

    • Preview the first module of many statistics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

    If you want to keep learning, earn a certificate in statistics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

    You’ll learn how to collect, interpret, and present data; calculate key metrics like mean and standard deviation; and apply statistical techniques such as regression analysis, probability distributions, and confidence intervals. Some courses also include hands-on practice with Excel, R, or Python.‎

    Not necessarily. Many Coursera statistics courses are designed for beginners and explain core concepts step by step. Some basic comfort with numbers is helpful, but you don’t need advanced math experience to get started.‎

    Yes. Statistics is essential in fields like business, healthcare, data science, psychology, and research. Learning statistics on Coursera can help you analyze data, make informed decisions, and gain skills that are valuable in both academic and professional settings.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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