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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

    • J

      Johns Hopkins University

      Infectious Disease Modeling in Practice

      Skills you'll gain: Epidemiology, Mathematical Modeling, Infectious Diseases, Public Health, Risk Modeling, Predictive Modeling, Forecasting, Data Analysis, Statistics, Probability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Social Determinants of Health: Data to Action

      Skills you'll gain: Health Equity, Health Disparities, Health Systems, Community Health, Public Health, Health Informatics, Healthcare Ethics, Health Policy, Maternal Health, Public Health and Disease Prevention, Statistical Analysis, Systems Thinking, Statistical Software, Box Plots, Data Ethics, Research Methodologies, Correlation Analysis, Scatter Plots, Environmental Science, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      16 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Pontificia Universidad Católica del Perú

      Comportamiento del Consumidor Digital

      Skills you'll gain: Consumer Behaviour, Business-To-Consumer, Data Collection, Target Market, Market Share, Market Research, Customer Insights, Digital Marketing, Business Ethics, Web Analytics, Technical Communication, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      EDUCBA

      Splunk Administration and Advanced Topics

      Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Incident Response, User Accounts, Security Information and Event Management (SIEM), Machine Learning, Event Monitoring, Performance Tuning, Data Visualization, Threat Detection, Identity and Access Management, Anomaly Detection, Correlation Analysis, Data Analysis, Authentications, Data Collection, Configuration Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      44 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Q

      Queen Mary University of London

      Research Instruments and Research Hypotheses

      Skills you'll gain: Research Reports, Statistical Hypothesis Testing, Survey Creation, Research Design, Statistical Analysis, Data Processing, Data Collection, Quantitative Research, Statistics, Data Analysis, Data Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      PowerBI for Beginners: Sales Data Exploration

      Skills you'll gain: Power BI, Interactive Data Visualization, Data Visualization, Data Presentation, Dashboard, Trend Analysis, Exploratory Data Analysis, Customer Analysis, Data Visualization Software, Sales, Business Intelligence, Data Analysis, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      Splunk Inc.

      Splunk Search Expert 103

      Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Transaction Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      45 reviews

      Beginner · Course · 1 - 4 Weeks

    • T

      The Hong Kong University of Science and Technology

      Understanding China, 1700-2000: A Data Analytic Approach, Part 1

      Skills you'll gain: Social Sciences, Socioeconomics, World History, Sociology, Trend Analysis, Data Analysis, Big Data, Research, Economics, Economic Development, Higher Education, Political Sciences, Culture, Data Collection, Education and Training

      4.6
      Rating, 4.6 out of 5 stars
      ·
      124 reviews

      Mixed · Course · 1 - 3 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Mobilité et urbanisme

      Skills you'll gain: Land Development, Geographic Information Systems, Spatial Analysis, Civil Engineering, Systems Thinking, Socioeconomics, Social Sciences, Research, Public Policies

      4.6
      Rating, 4.6 out of 5 stars
      ·
      117 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      GRAMMY GO

      Building Your Audience for Music Professionals

      Skills you'll gain: Marketing Budgets, Digital Media Strategy, Professional Networking, Content Strategy, Promotional Strategies, Branding, Marketing Analytics, Brand Strategy, Brand Awareness, Budget Management, Customer Engagement, Content Marketing, Creative Design, Target Audience, Digital Marketing, Marketing Strategies, Trend Analysis, Social Media Marketing, Resilience, Customer Insights

      4.8
      Rating, 4.8 out of 5 stars
      ·
      15 reviews

      Beginner · Specialization · 1 - 3 Months

    • K

      KodeKloud

      Linux for beginners with Hands-on Labs

      Skills you'll gain: Package and Software Management, Command-Line Interface, Linux Commands, Linux, Linux Administration, Unix Commands, Data Storage, Network Troubleshooting, Operating Systems, System Support, TCP/IP, Software Installation, File Management, Service Management, General Networking, Network Security, User Accounts

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Tesla Stock Price Prediction using Facebook Prophet

      Skills you'll gain: Technical Analysis, Time Series Analysis and Forecasting, Predictive Modeling, Market Data, Financial Forecasting, Applied Machine Learning, Trend Analysis, Financial Analysis, Google Sheets, Interactive Data Visualization, Data Manipulation

      4.2
      Rating, 4.2 out of 5 stars
      ·
      137 reviews

      Beginner · Guided Project · Less Than 2 Hours

    Searches related to statistics

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    1…555657…106

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

    • Infectious Disease Modeling in Practice: Johns Hopkins University
    • Social Determinants of Health: Data to Action: University of Minnesota
    • Comportamiento del Consumidor Digital: Pontificia Universidad Católica del Perú
    • Splunk Administration and Advanced Topics: EDUCBA
    • Research Instruments and Research Hypotheses: Queen Mary University of London
    • PowerBI for Beginners: Sales Data Exploration: Coursera Project Network
    • Splunk Search Expert 103: Splunk Inc.
    • Understanding China, 1700-2000: A Data Analytic Approach, Part 1: The Hong Kong University of Science and Technology
    • Mobilité et urbanisme: École Polytechnique Fédérale de Lausanne
    • Building Your Audience for Music Professionals: GRAMMY GO

    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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