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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

    • Status: Free Trial
      Free Trial
      S

      SAS

      Regression Modeling Fundamentals

      Skills you'll gain: Predictive Modeling, Predictive Analytics, SAS (Software), Statistical Modeling, Regression Analysis, Statistical Analysis, Data Analysis, Statistical Methods, Probability & Statistics, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      53 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Create a services customer satisfaction process

      Skills you'll gain: Customer Service, Customer experience strategy (CX), Customer Analysis, Process Mapping, Customer Insights, Process Design, Customer Support, Cross-Channel Marketing, Marketing Operations, Web Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      35 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • É

      École Polytechnique Fédérale de Lausanne

      Systèmes d’Information Géographique - Partie 2

      Skills you'll gain: GIS Software, Spatial Analysis, Geographic Information Systems, Geospatial Mapping, Spatial Data Analysis, Augmented Reality, Data Mapping, Color Theory, Data Processing, Database Management

      4.3
      Rating, 4.3 out of 5 stars
      ·
      43 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Regression Analysis, Web Scraping, Statistical Hypothesis Testing, Matplotlib, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Statistical Modeling, Applied Machine Learning, Bayesian Statistics, Data Analysis, Unsupervised Learning, Data Visualization Software, Supervised Learning, Exploratory Data Analysis, Statistical Inference, Artificial Intelligence and Machine Learning (AI/ML), Linear Algebra

      Earn a degree

      Degree · 1 - 4 Years

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Data Science and scikit-learn in Python

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, NumPy, Data Analysis, Data Processing, Python Programming, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Statistical Methods, Computer Programming, Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Inclusive Analytic Techniques

      Skills you'll gain: Data Ethics, Data Collection, Quantitative Research, Qualitative Research, Data Analysis, Statistical Analysis, Analytics, Regression Analysis, Research, Focus Group, Correlation Analysis, Diversity and Inclusion, Surveys, Probability, Stakeholder Engagement

      4.8
      Rating, 4.8 out of 5 stars
      ·
      78 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of California, Davis

      SQL für Data Science

      Skills you'll gain: Data Governance, SQL, Data Quality, Data Manipulation, Database Design, Data Transformation, Query Languages, Data Modeling, Databases, Relational Databases, Data Analysis, Descriptive Statistics

      4.3
      Rating, 4.3 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of London

      Doing Economics: Measuring Climate Change

      Skills you'll gain: Microsoft Excel, Environmental Policy, Data Analysis, Data Visualization, Descriptive Statistics, Correlation Analysis, Policy Analysis, Environmental Issue, Scatter Plots, Environmental Science, Economics, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for Market Research Analysts

      Skills you'll gain: Competitive Analysis, Market Research, Market Analysis, Customer Analysis, Generative AI, Marketing Analytics, Market Trend, Persona Development, Trend Analysis, ChatGPT, Analytics, OpenAI, Data Analysis, Forecasting, Ethical Standards And Conduct

      4.4
      Rating, 4.4 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build a Budget and Analyze Variance using Google Sheets

      Skills you'll gain: Google Sheets, Variance Analysis, Trend Analysis, Budget Management, Budgeting, Spreadsheet Software, Presentations, Financial Statements

      4.6
      Rating, 4.6 out of 5 stars
      ·
      78 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Building Statistical Models in R: Linear Regression

      Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Plot (Graphics), Predictive Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Text Mining, Applied Machine Learning, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Natural Language Processing, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      72 reviews

      Advanced · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…606162…106

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

    • Regression Modeling Fundamentals: SAS
    • Create a services customer satisfaction process: Coursera Project Network
    • Systèmes d’Information Géographique - Partie 2: École Polytechnique Fédérale de Lausanne
    • Master of Science in Data Science (Statistics): University of Leeds
    • Introduction to Data Science and scikit-learn in Python: LearnQuest
    • Inclusive Analytic Techniques: University of Toronto
    • SQL für Data Science: University of California, Davis
    • Doing Economics: Measuring Climate Change: University of London
    • GenAI for Market Research Analysts: Coursera Instructor Network
    • Build a Budget and Analyze Variance using Google Sheets: Coursera Project Network

    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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