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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

    • Placeholder
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Validation, Google Sheets, Data Analysis, Data Manipulation, SQL, Data Transformation, Spreadsheet Software, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Program Development, Software Installation, Computer Programming, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Bayesian Computational Statistics

      Skills you'll gain: Bayesian Statistics, Data Analysis, Statistical Inference, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Programming, Advanced Analytics, R Programming, Statistical Machine Learning, Markov Model, Predictive Modeling, Probability, Simulations, Probability Distribution

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 2

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Statistical Modeling

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Statistical Inference, Probability Distribution, Machine Learning Algorithms

      4.5
      Rating, 4.5 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      M

      Macquarie University

      Excel Skills for Statistics and Data Analysis: Essentials

      Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Statistical Inference, Descriptive Statistics, Data Analysis, Statistical Analysis, Statistics, Box Plots, Probability Distribution, Statistical Visualization, Histogram, Data Presentation

      Beginner · Course · 1 - 3 Months

    • Placeholder
      I

      IBM

      Applied Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Exploratory Data Analysis, Data Cleansing, Jupyter, Matplotlib, Data Analysis, Pandas (Python Package), Data Manipulation, Seaborn, Data Import/Export, Predictive Modeling, Predictive Analytics, Web Scraping, Interactive Data Visualization, Automation, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Beginner · Specialization · 3 - 6 Months

    • Placeholder
      Status: Free
      Free
      U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad

      Skills you'll gain: Descriptive Statistics, Statistics, Data Analysis, Statistical Methods, Correlation Analysis, Statistical Analysis, Data Presentation, Probability, Data-Driven Decision-Making, Quantitative Research, Regression Analysis, Probability Distribution, Exploratory Data Analysis, Graphing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Placeholder
      Status: New
      New
      U

      University of Michigan

      Statistics with Python Using NumPy, Pandas, and SciPy

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Probability & Statistics, NumPy, Probability, Probability Distribution, Statistical Analysis, Data Analysis, Exploratory Data Analysis, Histogram, Scatter Plots, Regression Analysis, Pandas (Python Package), Linear Algebra, Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      Status: Free
      Free
      S

      Stanford University

      Game Theory

      Skills you'll gain: Game Theory, Business Strategy, Strategic Decision-Making, Mathematical Modeling, Graph Theory, Bayesian Statistics, Decision Making, Behavioral Economics, Probability, Economics, Competitive Analysis, Algorithms, Theoretical Computer Science, Human Learning, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      Status: Free
      Free
      Y

      Yale University

      Understanding Medical Research: Your Facebook Friend is Wrong

      Skills you'll gain: Research Design, Statistical Methods, Descriptive Statistics, Research Methodologies, Scientific Methods, Clinical Research, Data Validation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.1K reviews

      Beginner · Course · 1 - 3 Months

    • Placeholder
      U

      University of California, Santa Cruz

      Bayesian Statistics: Capstone Project

      Skills you'll gain: Bayesian Statistics, Technical Communication, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Time Series Analysis and Forecasting, Markov Model, Statistical Methods, Predictive Modeling, Statistical Inference, Sampling (Statistics), Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    Statistics learners also search

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    1…678…109

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

    • Process Data from Dirty to Clean: Google
    • R Programming: Johns Hopkins University
    • Bayesian Computational Statistics: Illinois Tech
    • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Excel Skills for Statistics and Data Analysis: Essentials: Macquarie University
    • Applied Data Science: IBM
    • Estadística y probabilidad: Universidad Nacional Autónoma de México
    • Statistics with Python Using NumPy, Pandas, and SciPy: University of Michigan
    • Game Theory: Stanford 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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