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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
      Free
      T

      The Chinese University of Hong Kong

      Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话)

      Skills you'll gain: Statistical Modeling, Statistical Analysis, Social Sciences, Correlation Analysis, Regression Analysis, Surveys, Statistical Methods, Data Analysis Software, Econometrics, Mathematical Modeling, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      93 reviews

      Mixed · Course · 3 - 6 Months

    • I

      Indian Statistical Institute

      Postgraduate Diploma in Applied Statistics

      Skills you'll gain: Sampling (Statistics), Time Series Analysis and Forecasting, Sample Size Determination, Statistical Machine Learning, NumPy, Spatial Data Analysis, Statistical Hypothesis Testing, Probability, Database Management Systems, Economics, Statistical Modeling, Data Compilation, Statistical Methods, Dimensionality Reduction, Lifelong Learning, Regression Analysis, Statistics, Bayesian Statistics, Surveys, Market Data

      Postgraduate Diploma · 6 - 12 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Working with Objects in C++

      Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), Debugging, Test Data, Data Validation, Unit Testing, Algorithms, Statistical Programming, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      30 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GIS Mastery: Spatial Data, Remote Sensing, Decision Support

      Skills you'll gain: Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Spatial Analysis, Global Positioning Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      B

      Banco Interamericano de Desarrollo

      Natural Disaster Risk in Infrastructure Projects

      Skills you'll gain: Risk Analysis, Project Risk Management, Risk Management, Mitigation, Disaster Recovery, Environmental Resource Management, Civil Engineering, Statistical Analysis, Vulnerability, Economic Development, Spatial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      160 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Random Models, Nested and Split-plot Designs

      Skills you'll gain: Statistical Analysis, Regression Analysis, Statistical Modeling, Data Analysis, Statistical Methods, Data Transformation, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Foundational Mathematics for AI

      Skills you'll gain: Descriptive Statistics, Linear Algebra, Exploratory Data Analysis, Data-Driven Decision-Making, Bayesian Statistics, Statistics, Artificial Intelligence and Machine Learning (AI/ML), Probability, Regression Analysis, Calculus, Statistical Analysis, Advanced Mathematics, Applied Mathematics, Probability Distribution, Mathematical Modeling, Integral Calculus, Algebra, Machine Learning Algorithms, Dimensionality Reduction, Correlation Analysis

      Beginner · Course · 1 - 3 Months

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

      University of Maryland, College Park

      Foundations of Digital Marketing

      Skills you'll gain: Search Engine Marketing, Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Web Analytics, Web Analytics and SEO, Online Advertising, Data Presentation, Data Visualization, Analytics, Digital Marketing, Keyword Research, Apache Hadoop, Data-Driven Decision-Making, Digital Advertising, Return On Investment, A/B Testing, Advertising, Marketing Automation, Marketing Strategies

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Geospatial Technology for Construction

      Skills you'll gain: Geospatial Mapping, Geospatial Information and Technology, Geographic Information Systems, Construction, Construction Management, Architecture and Construction, Civil and Architectural Engineering, Spatial Analysis, Global Positioning Systems, GIS Software, As-Built Drawings, Survey Creation, Engineering, Scientific, and Technical Instruments, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Create an A/B web page marketing test with Google Optimize

      Skills you'll gain: A/B Testing, Google Analytics, Web Analytics, User Experience, Web Content, Target Audience, Marketing Effectiveness, Goal Setting, Content Development and Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      107 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      Applying Python for Data Analysis

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Business Analytics, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

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

      University of Michigan

      Data-Oriented Python Programming and Debugging

      Skills you'll gain: Debugging, NumPy, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Pandas (Python Package), Data Structures, Probability & Statistics, Statistical Methods, Probability, Statistics, Probability Distribution, Statistical Analysis, Data Analysis, Program Development, Large Language Modeling, Data Manipulation, Programming Principles, Computer Programming, Python Programming

      Intermediate · Specialization · 3 - 6 Months

    Searches related to statistics

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    1…575859…107

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

    • Structural Equation Model and its Applications | 结构方程模型及其应用 (普通话): The Chinese University of Hong Kong
    • Postgraduate Diploma in Applied Statistics: Indian Statistical Institute
    • Working with Objects in C++: University of London
    • GIS Mastery: Spatial Data, Remote Sensing, Decision Support: Coursera Instructor Network
    • Natural Disaster Risk in Infrastructure Projects: Banco Interamericano de Desarrollo
    • Random Models, Nested and Split-plot Designs: Arizona State University
    • Foundational Mathematics for AI: Johns Hopkins University
    • Foundations of Digital Marketing: University of Maryland, College Park
    • Geospatial Technology for Construction : L&T EduTech
    • Create an A/B web page marketing test with Google Optimize: Coursera Project Network

    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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