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    • Descriptive Statistics

    Descriptive Statistics Courses Online

    Master descriptive statistics for summarizing and describing data. Learn to use statistical measures, graphs, and tables for data analysis.

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    Explore the Descriptive Statistics Course Catalog

    • Status: Preview
      Preview
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Statistics, Descriptive Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Statistical Methods, Statistical Modeling, Statistical Inference, Sampling (Statistics), Statistical Hypothesis Testing, Data Science, Regression Analysis, Exploratory Data Analysis, Probability, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Statistics Foundations

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Marketing Analytics, Statistical Inference, Statistics, Statistical Modeling, Sampling (Statistics), Probability & Statistics, Business Analytics, Statistical Analysis, Statistical Methods, Tableau Software, Quantitative Research, Data Analysis, Exploratory Data Analysis, Regression Analysis, Time Series Analysis and Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      352 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Basic Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistics, Statistical Visualization, Statistical Methods, Statistical Analysis, Data Collection, Histogram, Quantitative Research, Graphing, Scatter Plots, R Programming

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Amsterdam

      Methods and Statistics in Social Sciences

      Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Inference, Science and Research, Statistical Hypothesis Testing, Research Design, Data Collection, Predictive Modeling, Sampling (Statistics), Statistics, Statistical Analysis, Research Methodologies, Research, Interviewing Skills, Report Writing, Research Reports, Statistical Visualization, Regression Analysis, Quantitative Research, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Statistics and Analysis

      Skills you'll gain: Regression Analysis, Microsoft Excel, Spreadsheet Software, Business Analytics, Excel Formulas, Data Analysis, Statistics, Histogram, Pivot Tables And Charts, Forecasting, Risk Analysis, Probability Distribution, Graphing, Statistical Methods, Descriptive Statistics, Statistical Analysis, Scatter Plots, Analytics, Analysis, Statistical Hypothesis Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Statistical Analysis, Statistics, Statistical Hypothesis Testing, Data Analysis, Statistical Programming, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Science, Probability, Jupyter, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      814 reviews

      Advanced · Course · 1 - 3 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

      Skills you'll gain: Business Analytics, Statistics, Probability Distribution, Descriptive Statistics, Statistical Methods, Data Literacy, Probability & Statistics, Histogram, Sampling (Statistics), Statistical Analysis, Correlation Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Case Western Reserve University

      Practical Geospatial Geostatistical Modeling

      Skills you'll gain: Exploratory Data Analysis, Spatial Analysis, Spatial Data Analysis, Box Plots, Statistical Modeling, Geospatial Information and Technology, Data Visualization, Geographic Information Systems, R Programming, Data Integration, Descriptive Statistics, Data Validation, Statistical Analysis, Data Transformation, Statistical Methods, Data Analysis, Simulations, Rmarkdown, Data Cleansing, Plot (Graphics)

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Rmarkdown, Shiny (R Package), Statistical Inference, Statistical Hypothesis Testing, Predictive Modeling, Regression Analysis, Exploratory Data Analysis, Statistical Analysis, Machine Learning Algorithms, Statistical Methods, Plotly, Statistics, Classification And Regression Tree (CART), R Programming, Data Visualization, Data Science, Statistical Modeling, Data Presentation, Machine Learning, GitHub

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Statistics with Python

      Skills you'll gain: Statistical Methods, Bayesian Statistics, Sampling (Statistics), Statistical Modeling, Statistical Inference, Regression Analysis, Descriptive Statistics, Data Visualization, Data Analysis, Exploratory Data Analysis, Histogram, Statistical Hypothesis Testing, Data Visualization Software, Statistics, Probability & Statistics, Box Plots, Jupyter, Statistical Analysis, Statistical Programming, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Development Environment, Software Design, Software Engineering, Software Development Methodologies, Software Development Tools, Software Development, Integrated Development Environments, Collaborative Software, Cloud Development, Web Applications, Data Ethics, Back-End Web Development, Computer Programming, Front-End Web Development, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Yellow Belt

      Skills you'll gain: Lean Methodologies, Six Sigma Methodology, Data Collection, Statistical Hypothesis Testing, Lean Six Sigma, Root Cause Analysis, Quality Improvement, Process Analysis, Process Improvement, Kaizen Methodology, Correlation Analysis, Quality Management, Stakeholder Engagement, Statistical Process Controls, Document Management, Process Capability, Lean Manufacturing, Regression Analysis, Cost Benefit Analysis, Project Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4K reviews

      Beginner · Specialization · 3 - 6 Months

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    1234…113

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

    • Introduction to Statistics: Stanford University
    • Statistics Foundations: Meta
    • Basic Statistics: University of Amsterdam
    • Methods and Statistics in Social Sciences: University of Amsterdam
    • Business Statistics and Analysis: Rice University
    • The Power of Statistics: Google
    • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
    • Practical Geospatial Geostatistical Modeling: Case Western Reserve University
    • Data Science: Statistics and Machine Learning: Johns Hopkins University
    • Statistics with Python: University of Michigan

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