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    • Statistics

    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

    • R

      Rice University

      Business Finance and Data Analysis Fundamentals

      Skills you'll gain: Capital Budgeting, Cash Flows, Financial Statements, Microsoft Excel, Descriptive Statistics, Financial Accounting, Business Analytics, Box Plots, Probability Distribution, Financial Analysis, Finance, Data Visualization, Probability, Statistics, Business Valuation, Financial Statement Analysis, Business Mathematics, Accounting, Return On Investment, General Accounting

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • R

      Rice University

      Introduction to Data Analysis Using Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Mixed · Course · 1 - 4 Weeks

    • S

      SAS

      SAS Programmer

      Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Data Analysis, Consolidation, Data Transformation, Requirements Analysis, Exploratory Data Analysis, Data Validation, Statistical Programming, Statistical Analysis, Data Processing, SQL, Data Presentation, Data Cleansing, Descriptive Statistics, Debugging

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • U

      University of Houston

      Math behind Moneyball

      Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Business Mathematics, Simulations, Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      97 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Neuroscience and Neuroimaging

      Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Experimentation, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Research Design, Scientific Visualization, Time Series Analysis and Forecasting, Matlab

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

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google

      Make the Sale: Build, Launch, and Manage E-commerce Stores

      Skills you'll gain: Order Fulfillment, E-Commerce, Order Processing, Campaign Management, Digital Advertising, Google Ads, Retail Management, Customer Engagement, Marketing Strategies, Market Research, Web Analytics, Trend Analysis, Customer experience strategy (CX), Target Audience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Applied Machine Learning in Python

      Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Dimensionality Reduction, Random Forest Algorithm

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      U

      Universiteit Leiden

      Terrorism and Counterterrorism: Comparing Theory and Practice

      Skills you'll gain: Public Safety and National Security, Research, Research Methodologies, Policy Analysis, Media and Communications, Social Studies, World History, International Relations, Political Sciences, Public Policies, Trend Analysis, Psychology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Simple Regression Analysis in Public Health

      Skills you'll gain: Biostatistics, Regression Analysis, Statistical Methods, Statistical Analysis, Epidemiology, Quantitative Research, Public Health, Data Analysis, Probability & Statistics, Statistical Inference

      4.7
      Rating, 4.7 out of 5 stars
      ·
      382 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Introduction to Sustainability

      Skills you'll gain: Environmental Policy, Environment, Water Resources, Demography, Energy and Utilities, Environmental Science, Environmental Resource Management, Socioeconomics, Policy Analysis, Natural Resource Management, Systems Thinking, Social Sciences, Trend Analysis, Economics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Toronto

      GIS, Mapping, and Spatial Analysis

      Skills you'll gain: ArcGIS, Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, GIS Software, Data Mapping, Data Visualization, Metadata Management, Query Languages, Global Positioning Systems, Quantitative Research, Data Compilation, Data Modeling, Typography, Data Manipulation, Data Processing, Data Storytelling, Design Elements And Principles, Image Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to statistics

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    statistics for data science
    statistics with python
    statistics for data analysis
    statistics for data science with python
    statistics foundations
    statistics and data analysis with excel, part 1
    statistics for data science essentials
    1…121314…106

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

    • Business Finance and Data Analysis Fundamentals: Rice University
    • Introduction to Data Analysis Using Excel: Rice University
    • SAS Programmer: SAS
    • Math behind Moneyball: University of Houston
    • Neuroscience and Neuroimaging: Johns Hopkins University
    • Make the Sale: Build, Launch, and Manage E-commerce Stores: Google
    • Applied Machine Learning in Python: University of Michigan
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder
    • Terrorism and Counterterrorism: Comparing Theory and Practice: Universiteit Leiden
    • Simple Regression Analysis in Public Health : Johns Hopkins 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. 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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