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    Results for "statistics"

    • 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

    • DeepLearning.AI

      AI and Public Health

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      221 reviews

      Beginner · Course · 1 - 4 Weeks

    • 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

    • 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

    • 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

    • Universidade Estadual de Campinas

      Pensamento Crítico, Lógica e Argumentação

      Skills you'll gain: Logical Reasoning, Deductive Reasoning, Liberal Arts, Persuasive Communication, Research, Statistics, Media and Communications, Appeals, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      126 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • 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
      ·
      697 reviews

      Beginner · Specialization · 3 - 6 Months

    • Imperial College London

      Logistic Regression in R for Public Health

      Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Feature Engineering, Statistical Inference, Data Analysis Software, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      364 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Universidad de los Andes

      Fundamentos de probabilidad y aplicaciones

      Skills you'll gain: Probability, Probability Distribution, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Descriptive Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      171 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Pennsylvania

      Global Trends for Business and Society

      Skills you'll gain: Demography, Market Trend, Trend Analysis, International Relations, Socioeconomics, Social Sciences, Systems Thinking, Cultural Diversity, Financial Systems, World History, Economics, Business Economics, Governance

      4.8
      Rating, 4.8 out of 5 stars
      ·
      919 reviews

      Mixed · Course · 1 - 4 Weeks

    • IBM

      Generative AI: Elevate Your Data Science Career

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Data Storytelling, Data Modeling, Data Presentation, Predictive Analytics, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Data Manipulation, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      179 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

    statistics for data science
    statistics with python
    statistics with r
    statistics for data analysis
    statistics for data science with python
    statistics and data analysis with excel, part 1
    statistics foundations
    statistics in psychological research
    1…293031…107

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

    • Deep Learning and Reinforcement Learning: IBM
    • AI and Public Health: DeepLearning.AI
    • Auditing II: The Practice of Auditing: University of Illinois Urbana-Champaign
    • Outbreaks and Epidemics: Johns Hopkins University
    • Statistical Inference for Estimation in Data Science: University of Colorado Boulder
    • Pensamento Crítico, Lógica e Argumentação: Universidade Estadual de Campinas
    • Global Disease Masterclass: Imperial College London
    • Globalización, Crecimiento Económico y Estabilidad: IE Business School
    • Logistic Regression in R for Public Health: Imperial College London
    • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes

    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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