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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
      U

      University of Colorado Boulder

      Ethical Issues in Data Science

      Skills you'll gain: Data Ethics, Healthcare Ethics, Ethical Standards And Conduct, Data Security, Data Science, Medical Privacy, Machine Learning Algorithms, Algorithms, Information Privacy, Artificial Intelligence, Diversity Awareness, Cybersecurity, Emerging Technologies

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      42 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Advanced Tableau

      Skills you'll gain: Star Schema, Data Modeling, Tableau Software, Business Intelligence, Extract, Transform, Load, Dashboard, Performance Tuning, Technical Analysis, Database Design, Data Visualization Software, Data Warehousing, Market Data, Data Presentation, Investment Banking, Exploratory Data Analysis, Tree Maps, Interactive Data Visualization, Data Integration, Market Analysis, Data Storytelling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      GIS: Geographic Information Systems for Sustainability

      Skills you'll gain: Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Datamaps, Spatial Analysis, Data Storytelling, Environmental Monitoring, Heat Maps, Forecasting, Trend Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Advanced Data Analysis with Generative AI

      Skills you'll gain: Generative AI, Anomaly Detection, Predictive Modeling, Text Mining, Predictive Analytics, Advanced Analytics, Data Cleansing, Prompt Engineering, Natural Language Processing, Unstructured Data, Data Analysis, Forecasting, Data Quality, Time Series Analysis and Forecasting, Exploratory Data Analysis, Software Documentation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Управление анализом данных

      Skills you'll gain: Data Presentation, Data Literacy, Data Collection, Data Analysis, Data Management, Analytical Skills, Management Reporting, Exploratory Data Analysis, Data Modeling, Statistical Analysis, Statistical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      46 reviews

      Mixed · Course · 1 - 4 Weeks

    • N

      Northeastern University

      An Overview of the U.S. Healthcare System

      Skills you'll gain: Health Systems, Healthcare Industry Knowledge, Health Care Administration, Health Care, Primary Care, Health Policy, Health Equity, Consumer Behaviour, Health Technology, Cultural Diversity, Telehealth, Economics, Trend Analysis

      Beginner · Course · 1 - 4 Weeks

    • S

      Starweaver

      Foundations of Hotel Budgeting and Forecasting

      Skills you'll gain: Advanced Analytics, Budget Management, Hospitality Management, Budgeting, Financial Forecasting, Hospitality, Variance Analysis, Forecasting, Operating Budget, Corporate Sustainability, Revenue Management, Demand Planning, Revenue Forecasting, Financial Statement Analysis, Financial Analysis, Performance Analysis, Trend Analysis, Applied Machine Learning, Performance Metric, Strategic Decision-Making

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Data Science Project: MATLAB for the Real World

      Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Exploratory Data Analysis, Applied Machine Learning, Statistical Reporting, Data Science, Machine Learning, Data Analysis, Matlab, Data Processing, Technical Communication, Predictive Modeling, Data Manipulation, Data Cleansing, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Digital Marketing Analytics

      Skills you'll gain: Digital Marketing, Web Analytics, Digital Advertising, Search Engine Marketing, Online Advertising, Google Analytics, Search Engine Optimization, Web Analytics and SEO, Google Ads, Marketing Channel, Social Media Marketing, Marketing Strategies, Keyword Research, Marketing Planning, Paid media, Marketing Analytics, Social Media, Advertising, Blogs, Emerging Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Introduction to Uncertainty Quantification

      Skills you'll gain: Probability, Bayesian Statistics, Probability Distribution, Risk Modeling, Mathematical Modeling, Statistical Inference, Markov Model, Reliability, Simulations, Applied Mathematics, Statistical Analysis, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Analysis with Python

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Dimensionality Reduction, Data Analysis, Anomaly Detection, Supervised Learning, Machine Learning, Analytics, Scikit Learn (Machine Learning Library), Predictive Modeling, Statistical Analysis, Applied Machine Learning, Machine Learning Methods, Statistical Modeling, Classification And Regression Tree (CART), Data Mining, Machine Learning Algorithms, Exploratory Data Analysis, Feature Engineering, Statistical Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Data Visualization Best Practices

      Skills you'll gain: Data Visualization Software, Statistical Visualization, Data Presentation, Plot (Graphics), Data Storytelling, Tableau Software, Exploratory Data Analysis, Descriptive Statistics, Data Analysis, Descriptive Analytics, Histogram

      3.9
      Rating, 3.9 out of 5 stars
      ·
      19 reviews

      Mixed · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…666768…108

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

    • Ethical Issues in Data Science: University of Colorado Boulder
    • Advanced Tableau: Corporate Finance Institute
    • GIS: Geographic Information Systems for Sustainability: University of Michigan
    • Advanced Data Analysis with Generative AI: Microsoft
    • Управление анализом данных: Johns Hopkins University
    • An Overview of the U.S. Healthcare System: Northeastern University
    • Foundations of Hotel Budgeting and Forecasting: Starweaver
    • Data Science Project: MATLAB for the Real World: MathWorks
    • Digital Marketing Analytics: O.P. Jindal Global University
    • Introduction to Uncertainty Quantification: 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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