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    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Social Network Analysis

      Skills you'll gain: Network Analysis, Graph Theory, Social Sciences, Statistical Analysis, R Programming, Sociology, Trend Analysis, Statistical Modeling, Statistical Hypothesis Testing

      4
      Rating, 4 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 4

      Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Analysis, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Exploratory Data Analysis, Machine Learning, Random Forest Algorithm, Statistical Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Forecast bikeshare demand using time series models in R

      Skills you'll gain: R Programming, Data Visualization, Time Series Analysis and Forecasting, Data-Driven Decision-Making, Trend Analysis, Rmarkdown, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning

      5
      Rating, 5 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • P

      Packt

      The Simplest Guideâ„¢ to Clinical Data Analysis with SAS

      Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, SAS (Software), Statistical Reporting, Pharmaceuticals, Data Analysis, Statistical Analysis, Data Transformation, Data Manipulation, Descriptive Statistics

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Visualization using dplyr and ggplot2 in R

      Skills you'll gain: Ggplot2, Tidyverse (R Package), Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Wrangling, Data Manipulation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Crisis Management and Crisis Communication Consulting  

      Skills you'll gain: Crisis Management, Consulting, Management Consulting, Leadership, Leadership and Management, Business Leadership, Public Affairs, Corporate Communications, Strategic Communication, Communication Strategies, Trend Analysis, Continuous Monitoring

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Explore and Create Reports with Data Studio

      Skills you'll gain: Exploratory Data Analysis, Data Visualization Software, Dashboard, Interactive Data Visualization, Data Analysis, Data Integration

      4.4
      Rating, 4.4 out of 5 stars
      ·
      20 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      F

      Fundação Instituto de Administração

      Análise de Dados Quantitativos

      Skills you'll gain: Quantitative Research, Marketing Analytics, Market Analysis, Market Research, Exploratory Data Analysis, Strategic Marketing, Forecasting, Strategic Decision-Making, Data Analysis, Predictive Modeling, Customer Analysis, Statistical Modeling, Statistical Analysis, Correlation Analysis, Regression Analysis, Unsupervised Learning, Variance Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Clustering Analysis

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Statistical Machine Learning, Exploratory Data Analysis, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      PyCaret: Anatomy of Regression

      Skills you'll gain: Regression Analysis, Statistical Modeling, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Data Manipulation, Pandas (Python Package), Machine Learning Methods, Data Visualization, Exploratory Data Analysis, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • J

      Johns Hopkins University

      Gestion de l’analyse des données

      Skills you'll gain: Data Analysis, Analytical Skills, Data Management, Exploratory Data Analysis, Data-Driven Decision-Making, Predictive Analytics, Data Presentation, Descriptive Analytics, Data Collection, Statistical Modeling, Data Validation, Statistical Inference, Communication

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      American Psychological Association

      The Psychology of Gender and Sexuality

      Skills you'll gain: Sociology, Psychology, Cultural Diversity, Human Development, Social Sciences, Biology, Trend Analysis, Statistical Analysis, Research

      Beginner · Course · 3 - 6 Months

    Searches related to statistics

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    1…747576…106

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

    • Social Network Analysis: Johns Hopkins University
    • Interpretable Machine Learning Applications: Part 4: Coursera Project Network
    • Forecast bikeshare demand using time series models in R: Coursera Project Network
    • The Simplest Guideâ„¢ to Clinical Data Analysis with SAS: Packt
    • Data Visualization using dplyr and ggplot2 in R: Coursera Project Network
    • Crisis Management and Crisis Communication Consulting  : University of Colorado Boulder
    • Explore and Create Reports with Data Studio: Google Cloud
    • Análise de Dados Quantitativos: Fundação Instituto de Administração
    • Clustering Analysis: University of Colorado Boulder
    • PyCaret: Anatomy of Regression: Coursera Project Network

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

    Frequently Asked Questions about Statistics

    Top statistics courses include Introduction to Statistics from Stanford University, Business Statistics and Analysis from Rice University, and Statistics with Python from the University of Michigan. These courses cover descriptive statistics, probability, hypothesis testing, and statistical modeling.‎

    Yes. Many statistics courses offer a free audit option, allowing you to access video lessons and reading materials without payment. If you want to complete assignments or earn a certificate, you’ll need to pay or apply for financial aid.‎

    You’ll learn how to collect, interpret, and present data; calculate key metrics like mean and standard deviation; and apply statistical techniques such as regression analysis, probability distributions, and confidence intervals. Some courses also include hands-on practice with Excel, R, or Python.‎

    Not necessarily. Many Coursera statistics courses are designed for beginners and explain core concepts step by step. Some basic comfort with numbers is helpful, but you don’t need advanced math experience to get started.‎

    Yes. Statistics is essential in fields like business, healthcare, data science, psychology, and research. Learning statistics on Coursera can help you analyze data, make informed decisions, and gain skills that are valuable in both academic and professional settings.‎

    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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