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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
      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
      ·
      136 reviews

      Advanced · 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

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to Business Analysis Using Spreadsheets: Basics

      Skills you'll gain: Google Sheets, Spreadsheet Software, Data Presentation, Statistical Visualization, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Excel Formulas, Data Cleansing, Mathematical Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      999 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Medical Technology and Evaluation

      Skills you'll gain: Payment Systems, Healthcare Industry Knowledge, Medical Equipment and Technology, Cost Benefit Analysis, Clinical Trials, Health Technology, Clinical Data Management, Financial Regulations, Program Evaluation, Pharmaceuticals, Health Policy, Risk Analysis, Health Care Procedure and Regulation, Claims Processing, Health Care, Regulatory Affairs, Quality Assessment, Medicare, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      288 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      249 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
      J

      Johns Hopkins University

      Surveillance Systems: The Building Blocks

      Skills you'll gain: Epidemiology, Public Health, Public Health and Disease Prevention, Health Systems, Health Policy, Program Evaluation, Infectious Diseases, Surveys, Data Collection, Trend Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      489 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      ·
      69 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Università di Napoli Federico II

      English Upper Intermediate B2.1

      Skills you'll gain: English Language, Language Competency, Intercultural Competence, Interpersonal Communications, Nutrition and Diet, Vocabulary, Culture, Trend Analysis, Environmental Issue, Grammar, Education and Training, Oral Comprehension, Social Justice

      4.5
      Rating, 4.5 out of 5 stars
      ·
      47 reviews

      Intermediate · Course · 1 - 3 Months

    • E

      Erasmus University Rotterdam

      Studying Cities: Social Science Methods for Urban Research

      Skills you'll gain: Surveys, Research, Research Methodologies, Data Collection, Research Design, Data Analysis, Qualitative Research, Statistical Analysis, Social Sciences, Experimentation, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      228 reviews

      Mixed · Course · 1 - 3 Months

    • U

      Universidad Austral

      Estadística aplicada a los negocios

      Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Business Risk Management, Risk Analysis, Business Analytics, Statistics, Sampling (Statistics), Microsoft Excel, Data Analysis, Probability, Statistical Analysis, Data-Driven Decision-Making, Probability Distribution, Statistical Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      756 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Financial Analysis: Portfolios, Risks, Strategic Decisions

      Skills you'll gain: Portfolio Management, Investment Management, Risk Management, Financial Management, Finance, Financial Market, Investments, Financial Planning, Financial Analysis, Asset Management, Risk Analysis, Financial Forecasting, Business Valuation, Market Dynamics, Quantitative Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      117 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…373839…107

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

    • Machine Learning Capstone: IBM
    • Math for MBA and GMAT Prep: Emory University
    • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera Project Network
    • Medical Technology and Evaluation: University of Minnesota
    • Unraveling the Cycling City: University of Amsterdam
    • Pricing Options with Mathematical Models: Caltech
    • Surveillance Systems: The Building Blocks: Johns Hopkins University
    • ChatGPT + Excel: Master Data, Make Decisions, Tell Stories: Vanderbilt University
    • English Upper Intermediate B2.1: Università di Napoli Federico II
    • Studying Cities: Social Science Methods for Urban Research: Erasmus University Rotterdam

    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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