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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

    • É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 1

      Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Simulations, Statistics, Interactive Data Visualization, Advanced Mathematics, Mathematical Modeling, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      105 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT + Excel: Master Data, Make Decisions, Tell Stories

      Skills you'll gain: Data Storytelling, Data Presentation, Data Synthesis, Microsoft Excel, Infographics, Data Analysis, Data Cleansing, Data Import/Export, ChatGPT, Statistical Reporting, Data Integration, Data Transformation, Data Validation, Exploratory Data Analysis, Prompt Engineering, Data Quality, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Using probability distributions for real world problems in R

      Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      30 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Meaningful Marketing Insights

      Skills you'll gain: Pivot Tables And Charts, Marketing Analytics, Descriptive Statistics, Microsoft Excel, Customer Insights, Regression Analysis, Data Analysis, Data-Driven Decision-Making, Marketing, Marketing Effectiveness, Exploratory Data Analysis, Consumer Behaviour, Statistical Analysis, Data Manipulation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      285 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.6
      Rating, 4.6 out of 5 stars
      ·
      137 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      UX Research at Scale: Surveys, Analytics, Online Testing

      Skills you'll gain: Surveys, UI/UX Research, User Research, Survey Creation, Sampling (Statistics), A/B Testing, Qualitative Research, Usability Testing, Research Methodologies, Web Analytics and SEO, Data Collection, Research Design, Sample Size Determination, Analytics, Data Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      206 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Minnesota

      Matrix Methods

      Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Methods for Quantitative Research in Psychology

      Skills you'll gain: Quantitative Research, Scientific Methods, Research Design, Research, General Science and Research, Correlation Analysis, Data Collection, Social Sciences, Experimentation, Data Analysis, Psychology, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      162 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Unraveling the Cycling City

      Skills you'll gain: Sociology, Systems Thinking, Economics, Policy, and Social Studies, Cultural Diversity, Policy Analysis, Geographic Information Systems, Environmental Science, Spatial Analysis, Public Policies, Qualitative Research, Environment and Resource Management, European History

      4.9
      Rating, 4.9 out of 5 stars
      ·
      251 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Caltech

      Pricing Options with Mathematical Models

      Skills you'll gain: Derivatives, Financial Market, Risk Modeling, Mathematical Modeling, Financial Modeling, Credit Risk, Risk Management, Portfolio Management, Probability, Differential Equations, Applied Mathematics, Probability Distribution, Calculus

      4.7
      Rating, 4.7 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Emory University

      Consulting Tools and Tips

      Skills you'll gain: Management Consulting, Business Consulting, Benchmarking, Microsoft Excel, Business Research, Analysis, Market Research, Competitive Analysis, Market Analysis, Data Modeling, Supply Chain, Interviewing Skills, Trend Analysis, Business Strategy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      314 reviews

      Beginner · Course · 1 - 3 Months

    • E

      Emory University

      Math for MBA and GMAT Prep

      Skills you'll gain: Regression Analysis, Data Visualization, Business Mathematics, Descriptive Statistics, Microsoft Excel, Statistics, Business Analytics, Excel Formulas, Algebra, Calculus, Arithmetic

      4.2
      Rating, 4.2 out of 5 stars
      ·
      44 reviews

      Beginner · Course · 1 - 3 Months

    Searches related to statistics

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    1…404142…108

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

    • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
    • ChatGPT + Excel: Master Data, Make Decisions, Tell Stories: Vanderbilt University
    • Using probability distributions for real world problems in R: Coursera Project Network
    • Meaningful Marketing Insights: Emory University
    • Machine Learning Capstone: IBM
    • UX Research at Scale: Surveys, Analytics, Online Testing: University of Michigan
    • Matrix Methods: University of Minnesota
    • Methods for Quantitative Research in Psychology: American Psychological Association
    • Unraveling the Cycling City: University of Amsterdam
    • Pricing Options with Mathematical Models: Caltech

    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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