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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

    • Status: Free Trial
      Free Trial
      G

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis, Statistical Programming, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Science, Probability, Jupyter, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      812 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Statistics for Data Science

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

      4.4
      Rating, 4.4 out of 5 stars
      ·
      764 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      M

      Macquarie University

      Statistics and Data Analysis with Excel: Advanced

      Skills you'll gain: Microsoft Excel, Regression Analysis, Forecasting, Time Series Analysis and Forecasting, Statistical Analysis, Advanced Analytics, Predictive Analytics, Statistical Hypothesis Testing, Data Analysis, Statistics, Statistical Inference, Probability & Statistics, Data Visualization Software

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics

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

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Statistical Modeling, Markov Model, Probability Distribution, Graph Theory, Network Model, Decision Support Systems, Data-Driven Decision-Making, Probability & Statistics, Statistical Machine Learning, Sampling (Statistics), Statistical Inference, Unsupervised Learning, Supervised Learning, Machine Learning, Machine Learning Methods, Network Analysis, Statistical Methods, 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
      U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Automation, Software Architecture, Simulation and Simulation Software, Deep Learning, Control Systems, Hardware Architecture, Estimation, Safety Assurance, Systems Architecture, Graph Theory, Artificial Intelligence and Machine Learning (AI/ML), Global Positioning Systems, Reinforcement Learning, Artificial Intelligence, Artificial Neural Networks, Spatial Data Analysis, Algorithms, Mathematical Modeling

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

      Advanced · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Advanced Visualizations using Tableau

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

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Network Modeling and Analysis in Python

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

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations of Data Science

      Skills you'll gain: Data Ethics, Data Analysis, Workflow Management, Analytical Skills, Data Science, Data Storytelling, Project Design, Data Literacy, Data Presentation, Data-Driven Decision-Making, Data Management, Project Management, Stakeholder Communications, Communication

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

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 1: Representation

      Skills you'll gain: Bayesian Network, Statistical Modeling, Markov Model, Probability Distribution, Graph Theory, Network Model, Decision Support Systems, Data-Driven Decision-Making, Probability & Statistics, Network Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.4K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Statistical Machine Learning, Unsupervised Learning, Supervised Learning, Machine Learning, Markov Model, Statistical Modeling, Statistical Methods, Graph Theory, Probability & Statistics, Probability Distribution, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Linear Models for Data Science 1: Least Squares

      Skills you'll gain: Linear Algebra, Regression Analysis, Mathematical Modeling, R Programming, Data Science, Advanced Mathematics, Applied Mathematics, Statistical Modeling, Statistics, Derivatives

      4.5
      Rating, 4.5 out of 5 stars
      ·
      187 reviews

      Advanced · Course · 1 - 3 Months

    Searches related to statistics

    statistics for data science
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    statistics for data analysis
    statistics with python
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    statistics and data analysis with excel: intermediate
    12345

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

    • The Power of Statistics: Google
    • Advanced Statistics for Data Science: Johns Hopkins University
    • Statistics and Data Analysis with Excel: Advanced: Macquarie University
    • Google Advanced Data Analytics: Google
    • Probabilistic Graphical Models: Stanford University
    • Self-Driving Cars: University of Toronto
    • Advanced Visualizations using Tableau: University of Colorado Boulder
    • Network Modeling and Analysis in Python: University of Michigan
    • Foundations of Data Science: Google
    • Probabilistic Graphical Models 1: Representation: Stanford University

    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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