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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
      I

      Illinois Tech

      Statistical Learning

      Skills you'll gain: Statistical Analysis, Data Analysis, Data Science, Statistical Programming, Statistical Methods, Statistical Machine Learning, Regression Analysis, Supervised Learning, Statistical Inference, Machine Learning, Unsupervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Feature Engineering

      Build toward a degree

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Python for Data Analytics

      Skills you'll gain: Pandas (Python Package), Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting

      Beginner · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Python para Ciencia de Datos

      Skills you'll gain: Descriptive Analytics, Data-Driven Decision-Making, Data Analysis, Data Visualization Software, Predictive Analytics, Business Analytics, Database Management, Data Science, Relational Databases, Data Processing, Trend Analysis, Forecasting, Data Manipulation, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      67 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      The Data Driven Manager

      Skills you'll gain: Sampling (Statistics), Data-Driven Decision-Making, Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistical Software, Statistics, Statistical Visualization, Correlation Analysis, Data Visualization, Estimation, Data Collection, Risk Analysis, Statistical Analysis, Box Plots, Probability, Statistical Methods, R Programming, Return On Investment

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      37 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Green Skills for a Sustainable and Just Future

      Skills you'll gain: Social Justice, Geographic Information Systems, Organizational Change, Environmental Policy, Sustainability Reporting, Environmental Issue, Environmental Regulations, Geospatial Mapping, Culture Transformation, Spatial Data Analysis, Datamaps, Environmental Social And Corporate Governance (ESG), Strategic Leadership, Organizational Strategy, Corporate Sustainability, Spatial Analysis, Organizational Leadership, Systems Thinking, Health Equity, Environmental Laws

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Pontificia Universidad Católica del Perú

      Analítica y ciencia de datos para negocios

      Skills you'll gain: Business Analytics, Dimensionality Reduction, Data Processing, Analytics, Data Cleansing, Data Transformation, Anomaly Detection, Business Analysis, Databases, Feature Engineering, R Programming, Data Analysis, Data Quality, Data Science, Exploratory Data Analysis, Statistical Methods, Unsupervised Learning, Supervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      É

      École normale supérieure

      Statistical Mechanics: Algorithms and Computations

      Skills you'll gain: Sampling (Statistics), Mathematical Software, Physics, Simulations, Statistical Programming, Computational Logic, Numerical Analysis, Markov Model, Mechanics, Quantitative Research, Algorithms, Applied Mathematics, Linear Algebra, Python Programming, Program Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      264 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Business intelligence and data analytics: Generate insights

      Skills you'll gain: SAS (Software), Business Analytics, Dashboard, Analytics, Data-Driven Decision-Making, Business Intelligence, Data Analysis, Trend Analysis, Forecasting, Histogram, Correlation Analysis, Ethical Standards And Conduct, Statistics, Predictive Modeling, Innovation, Sustainability Reporting

      4.6
      Rating, 4.6 out of 5 stars
      ·
      450 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Dealing With Missing Data

      Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Data Quality, Data Analysis Software, Statistical Analysis, Statistical Methods, Statistical Modeling, R Programming, Regression Analysis, Statistical Inference

      3.8
      Rating, 3.8 out of 5 stars
      ·
      135 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Image Segmentation, Filtering, and Region Analysis

      Skills you'll gain: Image Analysis, Matlab, Computer Vision, Medical Imaging, Spatial Analysis, Data Import/Export

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      Erasmus University Rotterdam

      Enjoyable Econometrics

      Skills you'll gain: Econometrics, Data Collection, Probability & Statistics, Regression Analysis, Survey Creation, Quantitative Research, Data Wrangling, Statistical Hypothesis Testing, Descriptive Statistics, Time Series Analysis and Forecasting, Statistical Analysis

      4.1
      Rating, 4.1 out of 5 stars
      ·
      121 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Pennsylvania

      Calculus: Single Variable Part 4 - Applications

      Skills you'll gain: Calculus, Integral Calculus, Applied Mathematics, Probability & Statistics, Geometry, Probability, Advanced Mathematics, Torque (Physics), Statistics, Mechanics, Mathematical Modeling, Physics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      274 reviews

      Mixed · Course · 1 - 3 Months

    Searches related to statistics

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    1…454647…107

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

    • Statistical Learning: Illinois Tech
    • Python for Data Analytics: DeepLearning.AI
    • Python para Ciencia de Datos: Pontificia Universidad Católica de Chile
    • The Data Driven Manager: University of Colorado Boulder
    • Green Skills for a Sustainable and Just Future: University of Michigan
    • Analítica y ciencia de datos para negocios: Pontificia Universidad Católica del Perú
    • Statistical Mechanics: Algorithms and Computations: École normale supérieure
    • Business intelligence and data analytics: Generate insights: Macquarie University
    • Dealing With Missing Data: University of Maryland, College Park
    • Image Segmentation, Filtering, and Region Analysis: MathWorks

    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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