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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 California, Davis

      GIS Applications Across Industries

      Skills you'll gain: ArcGIS, Geographic Information Systems, Public Health, Land Management, Geospatial Mapping, Spatial Analysis, Community Health, Emergency Response, Environmental Science, Natural Resource Management, Business Development, Market Analysis, Risk Mitigation, Supply Chain

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Auditing II: The Practice of Auditing

      Skills you'll gain: Auditing, Internal Controls, Financial Auditing, External Auditing, Generally Accepted Auditing Standards, Audit Planning, Financial Controls, Verification And Validation, Risk Analysis, Business Risk Management, Probability & Statistics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      275 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      New York University

      Climate Change and Human Rights

      Skills you'll gain: Environmental Issue, Environmental Policy, Social Justice, Case Law, Environmental Laws, Advocacy, Legal Proceedings, Legal Strategy, Trend Analysis, Governance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      672 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Precalculus: Mathematical Modeling

      Skills you'll gain: Data Analysis, Applied Mathematics, Mathematical Modeling, Analytical Skills, Statistics, Systems Of Measurement, Correlation Analysis, Regression Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      89 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Theoretical Computer Science, Computational Logic, Graph Theory, Network Analysis, Logical Reasoning, Geospatial Information and Technology, Computational Thinking, General Mathematics, Deductive Reasoning, Mathematics and Mathematical Modeling, Algebra, Spatial Analysis, Algorithms, Computer Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      279 reviews

      Beginner · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization

      3.6
      Rating, 3.6 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Machine Learning Algorithms: Supervised Learning Tip to Tail

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      413 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Practicing for the SAS Programming Certification Exam

      Skills you'll gain: SAS (Software), Data Analysis, Exploratory Data Analysis, Statistical Programming, Statistical Analysis, Data Manipulation, Data Cleansing, Data Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      94 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Mining Methods

      Skills you'll gain: Data Mining, Unsupervised Learning, Data Science, Big Data, Supervised Learning, Machine Learning Methods, Text Mining, Classification And Regression Tree (CART), Unstructured Data, Data Analysis, Anomaly Detection, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Statistical Analysis, Predictive Modeling, Exploratory Data Analysis, Algorithms, Artificial Neural Networks

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      58 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidades Anáhuac

      Productividad Empresarial con IA: ChatGPT

      Skills you'll gain: ChatGPT, Generative AI, Large Language Modeling, Prompt Engineering, Business Process Automation, Productivity Software, Safety Assurance, Artificial Intelligence, Trend Analysis, Automation, Data-Driven Decision-Making, Natural Language Processing, Content Creation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Dashboard, Business Analytics, Data Quality, Business Intelligence, Data Analysis, Descriptive Statistics, Data-Driven Decision-Making, Probability & Statistics, Statistical Inference, Big Data, Exploratory Data Analysis, Project Management Life Cycle, Job Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      E-Marketing

      Skills you'll gain: Pay Per Click Advertising, Search Engine Marketing, Customer Retention, Persona Development, Digital Marketing, Marketing Analytics, Search Engine Optimization, Key Performance Indicators (KPIs), Target Audience, Keyword Research, Social Media Strategy, Marketing Effectiveness, Customer Acquisition Management, Customer experience improvement, Marketing Strategy and Techniques, Customer Engagement, A/B Testing, Web Analytics, Marketing Strategies, Google Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      388 reviews

      Beginner · Specialization · 1 - 3 Months

    Searches related to statistics

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    1…474849…107

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

    • GIS Applications Across Industries: University of California, Davis
    • Auditing II: The Practice of Auditing: University of Illinois Urbana-Champaign
    • Climate Change and Human Rights: New York University
    • Precalculus: Mathematical Modeling: Johns Hopkins University
    • 离散数学概论 Discrete Mathematics Generality: Peking University
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
    • Practicing for the SAS Programming Certification Exam: SAS
    • Data Mining Methods: University of Colorado Boulder
    • Productividad Empresarial con IA: ChatGPT: Universidades Anáhuac

    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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