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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

    • Corporate Finance Institute

      Fundamentals of Data Analysis in Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Spreadsheet Software, Dashboard, Data Transformation, Data Analysis, Excel Formulas, Exploratory Data Analysis, Data Visualization Software, Data Presentation, Data Manipulation, Data Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      46 reviews

      Beginner · Course · 1 - 3 Months

    • Arizona State University

      Strategic Thinking

      Skills you'll gain: Strategic Thinking, Strategic Decision-Making, Systems Thinking, Strategic Planning, Business Strategy, Complex Problem Solving, Decision Making, Analysis, Trend Analysis, Competitive Analysis, Risk Analysis, Data-Driven Decision-Making, Market Intelligence, Performance Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      43 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free

      Peking University

      离散数学概论 Discrete Mathematics Generality

      Skills you'll gain: Theoretical Computer Science, Computational Logic, Graph Theory, Logical Reasoning, Geospatial Information and Technology, Computational Thinking, Spatial Analysis, Deductive Reasoning, Network Analysis, General Mathematics, Algebra, Mathematics and Mathematical Modeling, Information Technology, Computer Science, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 3 - 6 Months

    • Dartmouth College

      Population, Food, and Soil

      Skills you'll gain: Demography, Environment, Environment and Resource Management, Environmental Science, Land Management, Environmental Issue, Nutrition and Diet, Nutrition Education, Natural Resource Management, Social Studies, Water Resources, Human Development, Physical Science, Biology, Cultural Diversity, Trend Analysis, Economic Development, Estimation, Ethical Standards And Conduct

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 4 Weeks

    • University of Colorado Boulder

      Data Science as a Field

      Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      New York University

      Climate Change and Human Rights

      Skills you'll gain: Environmental Issue, Environmental Policy, Social Justice, Case Law, Environmental Laws, Advocacy, Legal Proceedings, Legal Strategy, Trend Analysis, Governance

      4.6
      Rating, 4.6 out of 5 stars
      ·
      637 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New

      University of Maryland, College Park

      Foundations of Digital Marketing

      Skills you'll gain: Search Engine Marketing, Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Web Analytics, Web Analytics and SEO, Online Advertising, Data Presentation, Data Visualization, Analytics, Digital Marketing, Keyword Research, Apache Hadoop, Data-Driven Decision-Making, Digital Advertising, Return On Investment, A/B Testing, Advertising, Marketing Automation, Marketing Strategies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Specialization · 3 - 6 Months

    • Universidad Nacional Autónoma de México

      Evolución

      Skills you'll gain: Biology, Life Sciences, Human Development, Human Learning, Environment, Anthropology, World History, Social Studies, Deductive Reasoning, Innovation, Molecular, Cellular, and Microbiology, European History, Higher Education, Taxonomy, Mathematical Modeling, Scientific Methods, Probability & Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      356 reviews

      Beginner · Specialization · 1 - 3 Months

    • Johns Hopkins University

      Advanced Probability and Statistical Methods

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistical Modeling, Statistics, Statistical Inference, Probability, R Programming, Applied Mathematics

      Intermediate · Course · 1 - 3 Months

    • Rice University

      Data Analysis for Managerial Decision-Making

      Skills you'll gain: Microsoft Excel, Descriptive Statistics, Business Analytics, Box Plots, Probability Distribution, Data Visualization, Probability, Statistics, Business Mathematics, Spreadsheet Software, Data-Driven Decision-Making, Algebra, Bayesian Statistics, Arithmetic, Statistical Analysis, Quantitative Research, Data Analysis, Regression Analysis, Correlation Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • 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

    • Università di Napoli Federico II

      Data Science con Python e R

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Object Oriented Programming (OOP), PyTorch (Machine Learning Library), R Programming, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Python Programming, Deep Learning, Computer Programming, Scripting Languages, Computer Vision, Keras (Neural Network Library), Scripting, Machine Learning, Exploratory Data Analysis, Programming Principles

      4.3
      Rating, 4.3 out of 5 stars
      ·
      50 reviews

      Intermediate · Specialization · 1 - 3 Months

    Statistics learners also search

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    1…505152…105

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

    • Fundamentals of Data Analysis in Excel: Corporate Finance Institute
    • Strategic Thinking: Arizona State University
    • 离散数学概论 Discrete Mathematics Generality: Peking University
    • Population, Food, and Soil: Dartmouth College
    • Data Science as a Field: University of Colorado Boulder
    • Climate Change and Human Rights: New York University
    • Foundations of Digital Marketing: University of Maryland, College Park
    • Evolución: Universidad Nacional Autónoma de México
    • Advanced Probability and Statistical Methods: Johns Hopkins University
    • Data Analysis for Managerial Decision-Making: Rice University

    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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