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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

    • T

      The Pennsylvania State University

      Geodesign: Change Your World

      Skills you'll gain: Geospatial Mapping, Geographic Information Systems, Systems Thinking, Design Thinking, Geospatial Information and Technology, Spatial Analysis, Community Development, Collaborative Software, Environment and Resource Management, Decision Support Systems, Creativity, Cultural Responsiveness

      4.6
      Rating, 4.6 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 3 Months

    • N

      National Taiwan University

      機器人學一 (Robotics (1))

      Skills you'll gain: Automation Engineering, Mechanical Engineering, Linear Algebra, Engineering Calculations, Trigonometry, Applied Mathematics, Control Systems, Mathematical Modeling, Spatial Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      63 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Sampling People, Networks and Records

      Skills you'll gain: Sampling (Statistics), Sample Size Determination, Data Collection, Surveys, Quantitative Research, Statistical Methods, Statistical Software, Probability & Statistics, Probability, Research Methodologies, Network Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      104 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAS

      Getting Started with SAS Visual Analytics

      Skills you'll gain: SAS (Software), Data Quality, Data Analysis, Data Visualization, Business Analytics, Exploratory Data Analysis, Virtual Environment, Data Manipulation, Data Access, Business Reporting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      884 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Trees and Graphs: Basics

      Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Analysis, Computational Thinking, Network Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      162 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Wesleyan University

      Regression Modeling in Practice

      Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, SAS (Software), Scatter Plots, Statistical Programming, Predictive Modeling, Statistical Hypothesis Testing, Plot (Graphics)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      274 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to Generative AI

      Skills you'll gain: Generative AI, Large Language Modeling, ChatGPT, Image Analysis, Artificial Neural Networks, Natural Language Processing, Deep Learning, Artificial Intelligence, Machine Learning Methods, Probability & Statistics

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      97 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Leeds

      Statistical Methods

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      The Influence of Social Determinants on Health

      Skills you'll gain: Health Disparities, Health Equity, Community Health, Public Health, Health Policy, Health Assessment, Social Justice, Epidemiology, Socioeconomics, Health Systems, Health Care, Stress Management, Social Sciences, Cultural Diversity, Mental and Behavioral Health, Data Collection, Culture, Sociology, Psychology, Public Policies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Beginner · Specialization · 1 - 3 Months

    • U

      Università Bocconi

      A Scientific Approach to Innovation Management

      Skills you'll gain: Data Analysis, Innovation, Strategic Decision-Making, Statistical Analysis, Data-Driven Decision-Making, Regression Analysis, Correlation Analysis, Big Data, Business Metrics, A/B Testing, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      78 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta Marketing Science Certification Exam

      Skills you'll gain: Interviewing Skills, Marketing Analytics, Registration, Digital Marketing, Data Analysis, Professional Networking, Statistical Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      211 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

    statistics with python
    statistics for data science
    statistics with r
    statistics for data analysis
    statistics in psychological research
    statistics for business
    statistics for data science with python
    statistics and data analysis with excel, part 1
    1…424344…107

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

    • Geodesign: Change Your World: The Pennsylvania State University
    • 機器人學一 (Robotics (1)): National Taiwan University
    • Sampling People, Networks and Records: University of Michigan
    • Getting Started with SAS Visual Analytics : SAS
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • Trees and Graphs: Basics: University of Colorado Boulder
    • Regression Modeling in Practice: Wesleyan University
    • Introduction to Generative AI: University of Colorado Boulder
    • Statistical Methods: University of Leeds
    • The Influence of Social Determinants on Health: University of Michigan

    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. Many statistics courses offer a free audit option, allowing you to access video lessons and reading materials without payment. If you want to complete assignments or earn a certificate, you’ll need to pay 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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