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    Statistics Courses Online

    Study statistics for data analysis and interpretation. Learn about descriptive statistics, probability, and inferential statistics.

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    Explore the Statistics Course Catalog

    • Imperial College London

      Survival Analysis in R for Public Health

      Skills you'll gain: Biostatistics, Statistical Analysis, R Programming, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Import/Export, Statistical Hypothesis Testing, Descriptive Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      323 reviews

      Intermediate · Course · 1 - 4 Weeks

    • IBM

      Scalable Machine Learning on Big Data using Apache Spark

      Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage, Data Pipelines, Machine Learning Algorithms, Distributed Computing, Data Processing, Exploratory Data Analysis, Statistical Analysis

      3.8
      Rating, 3.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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
      ·
      52 reviews

      Beginner · Course · 1 - 3 Months

    • Universidad Nacional Autónoma de México

      Estadística y probabilidad: principios de Inferencia

      Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics

      2.9
      Rating, 2.9 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Arizona State University

      Factorial and Fractional Factorial Designs

      Skills you'll gain: Experimentation, Research Design, Statistical Analysis, Statistical Methods, Statistical Hypothesis Testing, Variance Analysis, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      76 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Macquarie University

      Excel Time Series Models for Business Forecasting

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Financial Forecasting, Microsoft Excel, Demand Planning, Excel Formulas, Trend Analysis, Predictive Modeling, Data Presentation, Statistical Visualization, Graphing, Market Trend, Process Optimization

      4.9
      Rating, 4.9 out of 5 stars
      ·
      230 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      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
      ·
      458 reviews

      Intermediate · Course · 1 - 3 Months

    • University of Minnesota

      Medical Technology and Evaluation

      Skills you'll gain: Payment Systems, Healthcare Industry Knowledge, Medical Equipment and Technology, Cost Benefit Analysis, Clinical Trials, Health Technology, Clinical Data Management, Financial Regulations, Program Evaluation, Pharmaceuticals, Health Policy, Risk Analysis, Health Care Procedure and Regulation, Claims Processing, Health Care, Regulatory Affairs, Quality Assessment, Medicare, Probability & Statistics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      288 reviews

      Beginner · Course · 1 - 4 Weeks

    • IBM

      Assessment for Data Analysis and Visualization Foundations

      Skills you'll gain: Data Mining, Dashboard, Microsoft Excel, Data Quality, Data Cleansing, Data Analysis, Data Visualization Software, Spreadsheet Software, IBM Cognos Analytics, Exploratory Data Analysis, Pivot Tables And Charts, Data Manipulation, Data Wrangling, Analytics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      290 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Michigan

      The Influence of Social Determinants on Health

      Skills you'll gain: Health Disparities, Health Equity, Community Health, Public Health, Health Policy, Health Assessment, Social Justice, Economics, Policy, and Social Studies, Epidemiology, Socioeconomics, Health Systems, Health Care, Stress Management, Behavioral Health, Social Sciences, Cultural Diversity, Social and Human Services, Mental and Behavioral Health, Data Collection, Culture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      69 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New

      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
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • Corporate Finance Institute

      Data Skills for Excel Professionals

      Skills you'll gain: Dashboard, Microsoft Excel, Pivot Tables And Charts, Star Schema, Spreadsheet Software, Data Transformation, Data Analysis Expressions (DAX), Data Storytelling, Data Analysis, Excel Formulas, Exploratory Data Analysis, Extract, Transform, Load, Data Visualization Software, Data Presentation, Data Modeling, Business Intelligence, Competitive Analysis, Data Manipulation, Data Cleansing, Data Integration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      96 reviews

      Beginner · Specialization · 3 - 6 Months

    Statistics learners also search

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    1…363738…105

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

    • Survival Analysis in R for Public Health: Imperial College London
    • Scalable Machine Learning on Big Data using Apache Spark: IBM
    • African development – from the past to the present: Lund University
    • Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
    • Factorial and Fractional Factorial Designs: Arizona State University
    • Excel Time Series Models for Business Forecasting: Macquarie University
    • Introducción a los modelos de demanda de transporte: Pontificia Universidad Católica de Chile
    • Medical Technology and Evaluation: University of Minnesota
    • Assessment for Data Analysis and Visualization Foundations: IBM
    • The Influence of Social Determinants on Health: University of Michigan

    Frequently Asked Questions about Statistics

    Statistics courses on Coursera can help equip you with analytical skills and mathematical knowledge to effectively interpret data:

    • Understanding of statistical theory, including probability, distributions, and hypothesis testing.
    • Skills in applying statistical methods to real-world problems across various industries.
    • Proficiency in using statistical software tools like R, Python, or SPSS to analyze and visualize data.
    • Techniques for designing experiments and surveys to collect data efficiently.
    • Knowledge of regression analysis, ANOVA, and other statistical models.
    • Insights into big data analytics, including machine learning algorithms driven by statistical principles.
    • Application of statistics in specialized fields such as biostatistics, econometrics, or psychological statistics.‎

    Statistics courses on Coursera are designed to accommodate learners at different stages of their educational or professional journey:

    • Introductory courses are suitable for those new to statistics, offering foundational knowledge and basic application skills.
    • Intermediate courses build upon basic statistics knowledge, introducing more complex analyses and applications.
    • Advanced courses cater to individuals with a solid background in statistics, focusing on specialized topics or advanced analytical techniques. ‎

    Coursera provides various educational pathways to help validate your skills in statistics:

    • Professional certificates that can help you demonstrate your competence in statistical analysis.
    • Specialized course certificates that focus on particular aspects of statistics, such as data science or predictive analytics.
    • Degree programs and professional qualifications that prepare you for roles involving extensive use of statistics.

    These credentials are intended to enhance your professional qualifications and assist you in advancing your career in fields reliant on statistical analysis.‎

    Studying statistics on Coursera can prepare you for a variety of roles in data-intensive sectors:

    • Data Analyst: Utilize statistical tools and methods to interpret data and inform business decisions.
    • Statistical Consultant: Provide expertise to organizations on statistical methods, data collection, and analysis.
    • Biostatistician: Apply statistics to biological sciences and public health.
    • Econometrician: Use statistical techniques to study economic data and trends.
    • Quality Control Analyst: Implement statistical methods to assess product quality and maintain standards.‎

    Yes, Coursera offers a variety of free courses across many topics, including statistics. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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