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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
      A

      American Psychological Association

      Measures of Correlation and Contingency

      Skills you'll gain: Regression Analysis, Correlation Analysis, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Quantitative Research, Data Analysis, Descriptive Statistics, Statistical Hypothesis Testing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      American Psychological Association

      Chi-Square Tests of Hypotheses About Frequency Tables

      Skills you'll gain: Statistical Hypothesis Testing, Quantitative Research, Statistical Software, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Analytical Skills, Statistics, Psychology, Research

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Offloading Financial Mainframe Data into BigQuery and Elastic Search

      Skills you'll gain: Dashboard, Kibana, Google Cloud Platform, Cloud Computing, Data Import/Export, Financial Data, Mainframe Computing, Dataflow, Big Data, Exploratory Data Analysis

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Mastering Machine Learning Algorithms using Python

      Skills you'll gain: Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Deep Learning, Random Forest Algorithm, Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, Data Processing, Predictive Modeling, NumPy, Applied Machine Learning, Classification And Regression Tree (CART), Data Analysis, Machine Learning Algorithms, Machine Learning, Regression Analysis

      Intermediate · Specialization · 3 - 6 Months

    • F

      Fundação Instituto de Administração

      Modelos de Atribuição

      Skills you'll gain: Resource Allocation, Customer Analysis, Marketing Channel, Marketing Effectiveness, Data Modeling, Sales Strategy, Web Analytics, Big Data, Business Strategy, Marketing Strategies, Cross-Channel Marketing, Marketing Analytics, Data Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Data Analysis with the FraudFinder Workshop

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Anomaly Detection, Application Deployment, Data Store, Jupyter, Google Cloud Platform, Predictive Modeling, Data Analysis, Data Processing, Data Warehousing, Continuous Monitoring, Statistical Modeling

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Descriptive Statistics, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Probability

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Customer Insights

      Skills you'll gain: Customer Insights, Customer Analysis, Customer experience strategy (CX), Generative AI, User Feedback, Customer Data Management, Personalized Service, Customer Engagement, Business Intelligence, Trend Analysis, Data-Driven Decision-Making, Predictive Analytics, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Responsible AI: Transparency & Ethics

      Skills you'll gain: Data Ethics, Artificial Intelligence, Compliance Management, Risk Mitigation, Regulatory Compliance, OpenAI, Ethical Standards And Conduct, Predictive Modeling, Business Ethics, Feature Engineering, Machine Learning, Diversity and Inclusion, Prompt Engineering, Exploratory Data Analysis, Auditing, Governance

      Intermediate · Course · 1 - 4 Weeks

    • I

      IE Business School

      Competitive Interactions and Disruptive Change

      Skills you'll gain: Market Dynamics, Competitive Analysis, Market Trend, Market Share, Trend Analysis, Market Analysis, Market Intelligence, Business Economics, Strategic Marketing, Business Strategies, Strategic Thinking, Benchmarking

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Employing Best Practices for Improving the Usability of LookML Projects

      Skills you'll gain: Looker (Software), Maintainability, Usability Testing, Exploratory Data Analysis, Data Dictionary, Data Literacy

      Intermediate · Project · Less Than 2 Hours

    • I

      IIT Roorkee

      Data Mining for Smart Cities

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Anomaly Detection, Data Mining, Machine Learning Algorithms, Data Processing, Big Data, Data Cleansing, Data Visualization, Python Programming, Data-Driven Decision-Making, NumPy, Exploratory Data Analysis, Deep Learning, Regression Analysis, Artificial Neural Networks

      Beginner · Course · 1 - 3 Months

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

    • Measures of Correlation and Contingency: American Psychological Association
    • Chi-Square Tests of Hypotheses About Frequency Tables: American Psychological Association
    • Offloading Financial Mainframe Data into BigQuery and Elastic Search: Google Cloud
    • Mastering Machine Learning Algorithms using Python: Packt
    • Modelos de Atribuição: Fundação Instituto de Administração
    • Data Analysis with the FraudFinder Workshop: Google Cloud
    • Foundations of ML & Python for Data Science: Packt
    • GenAI for Customer Insights: Coursera Instructor Network
    • Responsible AI: Transparency & Ethics: Coursera Instructor Network
    • Competitive Interactions and Disruptive Change: IE Business School

    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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