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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
      U

      University of Pennsylvania

      Machine Learning Essentials

      Skills you'll gain: Statistical Machine Learning, Python Programming, Supervised Learning, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Statistical Inference, Predictive Modeling, Probability & Statistics

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Data Analysis and Visualization with Python

      Skills you'll gain: Matplotlib, NumPy, Plot (Graphics), Pandas (Python Package), Data Structures, Data Visualization Software, Data Analysis, Scatter Plots, Pivot Tables And Charts, Python Programming, File Management, Data Manipulation, Exploratory Data Analysis, Jupyter, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science Decisions in Time: Information Theory & Games

      Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Florida

      Agroforestry II: Major Systems of the World

      Skills you'll gain: Land Management, Natural Resource Management, Environment and Resource Management, Systems Thinking, Environment, Cultural Diversity, Spatial Analysis, Environmental Science, Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Defining, Describing, and Visualizing Data

      Skills you'll gain: Data-Driven Decision-Making, Data Literacy, Probability Distribution, Descriptive Statistics, Data Analysis, Statistical Visualization, Box Plots, R Programming, Exploratory Data Analysis, Data Manipulation, Probability, Statistical Analysis, Histogram

      4.5
      Rating, 4.5 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

    • 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: 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 Trial
      Free Trial
      I

      Illinois Tech

      Model Diagnostics and Remedial Measures

      Skills you'll gain: Regression Analysis, Data Validation, Feature Engineering, Exploratory Data Analysis, Statistical Modeling, Data Transformation, Statistical Methods, Plot (Graphics), Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Statistical Inference, Linear Algebra, Statistical Hypothesis Testing, Probability Distribution

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Manipulation with dplyr in R

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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

    Searches related to statistics

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    1…757677…107

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

    • Machine Learning Essentials: University of Pennsylvania
    • Data Analysis and Visualization with Python: Arizona State University
    • Data Science Decisions in Time: Information Theory & Games: Johns Hopkins University
    • Agroforestry II: Major Systems of the World: University of Florida
    • PyCaret: Anatomy of Regression: Coursera Project Network
    • Defining, Describing, and Visualizing Data: University of Colorado Boulder
    • Gestion de l’analyse des données: Johns Hopkins University
    • Clustering Analysis: University of Colorado Boulder
    • Model Diagnostics and Remedial Measures: Illinois Tech
    • Data Manipulation with dplyr in R: 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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