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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
      S

      SAS

      SAS Visual Business Analytics

      Skills you'll gain: SAS (Software), Network Analysis, Trend Analysis, Data Manipulation, Data Analysis, Forecasting, Data Quality, Text Mining, Exploratory Data Analysis, Ad Hoc Reporting, Spatial Data Analysis, Data Visualization Software, Spatial Analysis, Dashboard, Time Series Analysis and Forecasting, Interactive Data Visualization, Data-Driven Decision-Making, Predictive Analytics, Business Reporting, Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IE Business School

      Globalización, Crecimiento Económico y Estabilidad

      Skills you'll gain: Financial Policy, Economics, Policy, and Social Studies, Economics, Public Policies, International Finance, Policy Analysis, International Relations, Economic Development, Tax, Socioeconomics, Trend Analysis, Global Marketing, Business Economics, Political Sciences, Analysis, Fiscal Management, Supply And Demand, Business Risk Management, World History, Policty Analysis, Research, and Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      707 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Data Visualization with Tableau Project

      Skills you'll gain: Data Storytelling, Data Presentation, Dashboard, Data Visualization Software, Interactive Data Visualization, Proposal Development, Tableau Software, Exploratory Data Analysis, Data-Driven Decision-Making, Data Cleansing, Data Import/Export, Target Audience

      4.6
      Rating, 4.6 out of 5 stars
      ·
      571 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning: Classification

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Data Cleansing, Scalability, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      La gestión de los riesgos y la administración de los cambios en el proyecto

      Skills you'll gain: Risk Analysis, Project Risk Management, Risk Management, Change Control, Risk Mitigation, Project Controls, Change Management, Microsoft Project, Simulation and Simulation Software, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Research Methodologies

      Skills you'll gain: Qualitative Research, Research Methodologies, Surveys, Science and Research, Data Collection, Focus Group, Business Research, Market Research, Research Design, Sample Size Determination, Survey Creation, Interviewing Skills, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      397 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Visualization, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Artificial Neural Networks, Data Science, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      320 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistical Inference and Hypothesis Testing in Data Science Applications

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Data Ethics, Probability & Statistics, Statistical Inference, Statistical Analysis, Quantitative Research, Statistics, Probability Distribution

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IE Business School

      Intelligence Tools for the Digital Age

      Skills you'll gain: Intelligence Collection and Analysis, Strategic Thinking, Competitive Intelligence, Analysis, Business Intelligence, Digital Transformation, Timelines, Decision Making, Trend Analysis, Business Technologies, Business Strategy, Complex Problem Solving, International Relations, Forecasting, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      669 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Data Literacy: Exploring and Visualizing Data

      Skills you'll gain: Exploratory Data Analysis, Data Literacy, Data Storytelling, Data-Driven Decision-Making, Data Presentation, SAS (Software), Trend Analysis, Data Manipulation, Data Analysis, Data Quality, Data Cleansing, Scatter Plots, Interactive Data Visualization, Technical Communication, Time Series Analysis and Forecasting, Data Ethics, Data Visualization, Data Visualization Software, Research, Business Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Linear Regression in R for Public Health

      Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Methods, Probability & Statistics, Biostatistics, Epidemiology, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Blueprint to Brilliance Through Interior Design

      Skills you'll gain: Architectural Design, Design, Design Strategies, Design Elements And Principles, Creativity, Systems Of Measurement, Aesthetics, Spatial Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      128 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…293031…107

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

    • SAS Visual Business Analytics: SAS
    • Globalización, Crecimiento Económico y Estabilidad: IE Business School
    • Data Visualization with Tableau Project: University of California, Davis
    • Machine Learning: Classification: University of Washington
    • La gestión de los riesgos y la administración de los cambios en el proyecto: Tecnológico de Monterrey
    • Research Methodologies: Queen Mary University of London
    • IBM AI Enterprise Workflow: IBM
    • Statistical Inference and Hypothesis Testing in Data Science Applications: University of Colorado Boulder
    • Intelligence Tools for the Digital Age : IE Business School
    • Data Literacy: Exploring and Visualizing Data: SAS

    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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