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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

    • U

      Universiteit Leiden

      Population Health: Responsible Data Analysis

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Statistical Modeling, Data Cleansing, Data Quality

      4.6
      Rating, 4.6 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Statistical Methods for Computer Science

      Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, Probability, Probability & Statistics, Bayesian Statistics, Probability Distribution, Simulations, Data Science, Markov Model, Applied Mathematics, Graph Theory, Statistics

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Vital Skills for Data Science

      Skills you'll gain: Data Ethics, Data Visualization Software, Interactive Data Visualization, Visualization (Computer Graphics), Data Security, Data Presentation, User Centered Design, Statistical Visualization, Cybersecurity, Technical Communication, Usability, Healthcare Ethics, Cyber Attacks, Statistical Reporting, Human Computer Interaction, Authentications, Data Storytelling, Data Science, Ethical Standards And Conduct, User Research

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      111 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI and Climate Change

      Skills you'll gain: Image Analysis, Environmental Monitoring, Artificial Intelligence, Deep Learning, Data Processing, Forecasting, Machine Learning, Computer Vision, Environmental Science, Exploratory Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      119 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Introducción a los modelos de demanda de transporte

      Skills you'll gain: Data Collection, Transportation Operations, Surveys, Quantitative Research, Mathematical Modeling, Predictive Modeling, Statistical Methods, Regression Analysis, Spatial Analysis, Probability Distribution, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      459 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      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

    • L

      Lund University

      African development – from the past to the present

      Skills you'll gain: Socioeconomics, Social Studies, Ancient History, Economic Development, World History, European History, Economics, International Relations, Political Sciences, Demography, Trend Analysis, Governance

      4.2
      Rating, 4.2 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Using probability distributions for real world problems in R

      Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, Statistics, Statistical Analysis, Statistical Hypothesis Testing, Data Analysis, Data Science, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 1

      Skills you'll gain: Probability, Probability Distribution, Simulations, Probability & Statistics, Statistical Methods, Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      105 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Renewable Energy Futures

      Skills you'll gain: Energy and Utilities, Electrical Power, Electrical Systems, Electric Power Systems, Market Dynamics, Emerging Technologies, Market Trend, Trend Analysis, Market Opportunities, Environmental Issue, Forecasting, Mathematical Modeling, Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      235 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Fake News Detection with Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Deep Learning, Text Mining, Artificial Neural Networks, Matplotlib, Data Cleansing, Data Import/Export, Data Analysis, Natural Language Processing, Data Processing, Data Manipulation, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      258 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT + Excel: Master Data, Make Decisions, Tell Stories

      Skills you'll gain: Data Storytelling, Data Presentation, Data Synthesis, Microsoft Excel, Infographics, Data Analysis, Data Cleansing, Data Import/Export, ChatGPT, Statistical Reporting, Data Integration, Data Transformation, Data Validation, Exploratory Data Analysis, Prompt Engineering, Data Quality, Generative AI

      4.8
      Rating, 4.8 out of 5 stars
      ·
      70 reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…394041…107

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

    • Population Health: Responsible Data Analysis: Universiteit Leiden
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Vital Skills for Data Science: University of Colorado Boulder
    • AI and Climate Change: DeepLearning.AI
    • Introducción a los modelos de demanda de transporte: Pontificia Universidad Católica de Chile
    • Global Disease Masterclass: Imperial College London
    • African development – from the past to the present: Lund University
    • Using probability distributions for real world problems in R: Coursera Project Network
    • Aléatoire : une introduction aux probabilités - Partie 1: École Polytechnique
    • Renewable Energy Futures: University of Colorado Boulder

    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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