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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
      Free
      P

      Pontificia Universidad Católica de Chile

      Introducción a la Minería de Datos

      Skills you'll gain: Exploratory Data Analysis, Data Mining, Data Analysis, Machine Learning Algorithms, Data Manipulation, Databases, Data Science, Machine Learning Methods, Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Algorithms, Performance Testing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      T

      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Precision Medicine, Bioinformatics, Image Analysis, Medical Imaging, Big Data, Health Informatics, Statistical Methods, Data Science, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Molecular Biology, Network Analysis, Graph Theory, Healthcare Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      AI and Public Health

      Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Data Ethics, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      222 reviews

      Beginner · 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
      ·
      274 reviews

      Intermediate · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Outbreaks and Epidemics

      Skills you'll gain: Epidemiology, Infectious Diseases, Risk Analysis, Public Health, Investigation, Public Health and Disease Prevention, Biostatistics, Laboratory Testing, Statistical Analysis, Probability & Statistics, Research Methodologies, Report Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      751 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Regression Analysis for Statistics & Machine Learning in R

      Skills you'll gain: Regression Analysis, Data Cleansing, R Programming, Applied Machine Learning, Statistical Analysis, Data Manipulation, Statistical Machine Learning, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Data Transformation, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Inference for Estimation in Data Science

      Skills you'll gain: Statistical Inference, Statistical Methods, Probability & Statistics, Statistical Modeling, Sampling (Statistics), Statistical Analysis, Data Science, Probability Distribution

      4.1
      Rating, 4.1 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Imperial College London

      Global Disease Masterclass

      Skills you'll gain: Infectious Diseases, Epidemiology, Public Health and Disease Prevention, Public Health, Health Disparities, Cardiology, Chronic Diseases, Microbiology, Community Health, Health Systems, Health Policy, Socioeconomics, Preventative Care, Health Care, Health Assessment, Biostatistics, Data Analysis, Policy Analysis, Trend Analysis, Medical Science and Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      316 reviews

      Beginner · Specialization · 1 - 3 Months

    • N

      New York Institute of Finance

      Reinforcement Learning for Trading Strategies

      Skills you'll gain: Reinforcement Learning, Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Machine Learning, Financial Market, Time Series Analysis and Forecasting

      3.5
      Rating, 3.5 out of 5 stars
      ·
      240 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      Relational Database Administration (DBA)

      Skills you'll gain: Database Management, Database Architecture and Administration, Relational Databases, Operational Databases, Database Systems, IBM DB2, MySQL, Performance Tuning, PostgreSQL, Disaster Recovery, Data Storage Technologies, Database Design, System Monitoring, Role-Based Access Control (RBAC), User Accounts, Encryption

      4.4
      Rating, 4.4 out of 5 stars
      ·
      237 reviews

      Intermediate · Course · 1 - 3 Months

    • 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
      ·
      698 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to statistics

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    1…293031…107

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

    • Introducción a la Minería de Datos: Pontificia Universidad Católica de Chile
    • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
    • AI and Public Health: DeepLearning.AI
    • Auditing II: The Practice of Auditing: University of Illinois Urbana-Champaign
    • Outbreaks and Epidemics: Johns Hopkins University
    • Regression Analysis for Statistics & Machine Learning in R: Packt
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder
    • Global Disease Masterclass: Imperial College London
    • Reinforcement Learning for Trading Strategies: New York Institute of Finance
    • Relational Database Administration (DBA): IBM

    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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