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    • Statistics

    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

    • Status: Free
      Free

      Johns Hopkins University

      Infectious Disease Transmission Models for Decision-Makers

      Skills you'll gain: Health Policy, Epidemiology, Infectious Diseases, Public Health, Policy Analysis, Mathematical Modeling, Statistical Modeling, Biostatistics, Predictive Modeling, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      617 reviews

      Beginner · Course · 1 - 4 Weeks

    • Yonsei University

      Big Data Emerging Technologies

      Skills you'll gain: Apache Spark, Big Data, SPSS, Analytics, Real Time Data, Apache Hadoop, Data Processing, Business Analytics, Statistical Analysis, Data Analysis Software, Business Strategy, Market Share, Scalability, Machine Learning Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      299 reviews

      Beginner · Course · 1 - 3 Months

    • Alberta Machine Intelligence Institute

      Machine Learning Algorithms: Supervised Learning Tip to Tail

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Jupyter, Machine Learning, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Feature Engineering, Data Processing, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      413 reviews

      Mixed · Course · 1 - 4 Weeks

    • Duke University

      Think Again III: How to Reason Inductively

      Skills you'll gain: Deductive Reasoning, Logical Reasoning, Probability, Sampling (Statistics), Statistics, Correlation Analysis, Scientific Methods

      4.6
      Rating, 4.6 out of 5 stars
      ·
      388 reviews

      Beginner · Course · 1 - 3 Months

    • Kennesaw State University

      DFSS for the 6 σ Black Belt

      Skills you'll gain: Process Improvement, Six Sigma Methodology, Lean Six Sigma, Knowledge Transfer, Continuous Improvement Process, Lean Manufacturing, Statistical Process Controls, Quality Management, Product Design, Statistical Methods, Design and Product, Probability & Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      33 reviews

      Mixed · Course · 1 - 3 Months

    • University of Michigan

      How to Describe Data

      Skills you'll gain: Histogram, Data Visualization, Data Literacy, Data Presentation, Data Collection, Descriptive Statistics, Statistics, Data Analysis, Statistical Visualization, Probability & Statistics, Statistical Reporting, Sampling (Statistics), Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of California, Davis

      GIS Applications Across Industries

      Skills you'll gain: ArcGIS, Geographic Information Systems, Public Health, Land Management, Geospatial Mapping, Spatial Analysis, Community Health, Emergency Response, Environmental Science, Natural Resource Management, Business Development, Environment and Resource Management, Market Analysis, Risk Mitigation, Supply Chain

      4.6
      Rating, 4.6 out of 5 stars
      ·
      70 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Radio y Televisión Española

      Competencias y habilidades esenciales en el entorno digital

      Skills you'll gain: Social Media Content, Social Media Strategy, Live Streaming, Photo/Video Production and Technology, Image Analysis, Social Media Management, Video Production, Content Strategy, Media and Communications, Content Creation, Journalism, Network Analysis, Mobile Development Tools, Research, Digital Communications, Information Architecture, Education Software and Technology, Investigation, Trend Analysis, Verification And Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      62 reviews

      Beginner · Specialization · 3 - 6 Months

    • Aptly

      Advertising and E-commerce on TikTok

      Skills you'll gain: TikTok, Content Performance Analysis, Performance Measurement, Web Analytics, Advertising, Digital Media Strategy, Advertising Campaigns, Performance Analysis, Performance Metric, Digital Advertising, Marketing Analytics, Marketing, Marketing Strategies, E-Commerce, Campaign Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      58 reviews

      Beginner · Course · 1 - 4 Weeks

    • Banco Interamericano de Desarrollo

      Natural Disaster Risk in Infrastructure Projects

      Skills you'll gain: Risk Analysis, Project Risk Management, Risk Management, Mitigation, Business Risk Management, Disaster Recovery, Environmental Resource Management, Civil Engineering, Construction, Statistical Analysis, Vulnerability, Economic Development, Spatial Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      160 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Data Driven Decision Making

      Skills you'll gain: Statistical Hypothesis Testing, Correlation Analysis, Statistical Analysis, Statistical Software, Statistical Methods, Probability & Statistics, Data Analysis, Data Visualization, R Programming, Statistical Inference, Variance Analysis, Sampling (Statistics)

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Intermediate · Course · 1 - 3 Months

    • MathWorks

      Image Segmentation, Filtering, and Region Analysis

      Skills you'll gain: Image Analysis, Matlab, Computer Vision, Medical Imaging, Spatial Analysis, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    Statistics learners also search

    R Statistics
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    1…464748…105

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

    • Infectious Disease Transmission Models for Decision-Makers: Johns Hopkins University
    • Big Data Emerging Technologies: Yonsei University
    • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
    • Think Again III: How to Reason Inductively: Duke University
    • DFSS for the 6 σ Black Belt: Kennesaw State University
    • How to Describe Data: University of Michigan
    • GIS Applications Across Industries: University of California, Davis
    • Competencias y habilidades esenciales en el entorno digital: Radio y Televisión Española
    • Advertising and E-commerce on TikTok: Aptly
    • Natural Disaster Risk in Infrastructure Projects: Banco Interamericano de Desarrollo

    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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