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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

      Measurement – Turning Concepts into Data

      Skills you'll gain: Surveys, Survey Creation, Sampling (Statistics), Quantitative Research, Research Methodologies, Data Analysis, Data Quality, Data Transformation, Data Modeling, Data Validation, Statistical Methods

      4.7
      Rating, 4.7 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Analysis in R: Predictive Analysis with Regression

      Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Use Tableau for Your Data Science Workflow

      Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization, Data Visualization Software, Interactive Data Visualization, Statistical Visualization, Tableau Software, Data Ethics, Exploratory Data Analysis, Scatter Plots, Heat Maps, Data Analysis, Descriptive Analytics, Geospatial Information and Technology, Analytical Skills, Application Deployment, Network Analysis, Financial Data, Data Integrity

      3.9
      Rating, 3.9 out of 5 stars
      ·
      27 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science as a Field

      Skills you'll gain: Data Presentation, Technical Communication, Statistical Reporting, Data Storytelling, Data Science, Data Analysis, Data Visualization, Data Ethics, Data-Driven Decision-Making, Exploratory Data Analysis

      Build toward a degree

      4.3
      Rating, 4.3 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 4 Weeks

    • É

      École Polytechnique

      Aléatoire : une introduction aux probabilités - Partie 2

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Advanced Mathematics, Mathematical Theory & Analysis, Simulations, Statistical Methods, Statistical Inference

      4.6
      Rating, 4.6 out of 5 stars
      ·
      39 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Forecasting Financial Statements & Valuation for Accountants

      Skills you'll gain: Financial Forecasting, Financial Statement Analysis, Financial Accounting, Business Valuation, Financial Statements, Cash Flow Forecasting, Financial Analysis, Financial Modeling, Balance Sheet, Generally Accepted Accounting Principles (GAAP), Trend Analysis

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Machine Learning Algorithms with R in Business Analytics

      Skills you'll gain: Exploratory Data Analysis, R Programming, Analytics, Business Analytics, Statistical Machine Learning, Applied Machine Learning, Predictive Modeling, Unsupervised Learning, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Predictive Analytics, Data Analysis, Supervised Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Google Analytics for Beginners: Marketing Essentials

      Skills you'll gain: Web Analytics, Google Analytics, Content Performance Analysis, Customer Analysis, E-Commerce, Marketing Analytics, Performance Analysis, Marketing Effectiveness

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Machine Learning - Anomaly Detection via PyCaret

      Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Predictive Modeling, Interactive Data Visualization, Applied Machine Learning, Machine Learning Software, Machine Learning Algorithms

      3.8
      Rating, 3.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • T

      The Hong Kong University of Science and Technology

      Social Science Approaches to the Study of Chinese Society Part 1

      Skills you'll gain: Social Sciences, Science and Research, Surveys, Qualitative Research, Research, Research Methodologies, Sociology, Political Sciences, Experimentation, Anthropology, Economics, Demography

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Practical Data Science for Data Analysts

      Skills you'll gain: Feature Engineering, Data Import/Export, Matplotlib, Exploratory Data Analysis, Data Science, Regression Analysis, Financial Data, Data Analysis, Business Analytics, Data Cleansing, Data Literacy, Pandas (Python Package), Machine Learning Algorithms, Financial Analysis, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Cluster Analysis, Association Mining, and Model Evaluation

      Skills you'll gain: Unsupervised Learning, Data Analysis, Regression Analysis, Statistical Analysis, Data Mining, Predictive Modeling, Predictive Analytics, Anomaly Detection, Statistical Modeling, Classification And Regression Tree (CART), Machine Learning, Correlation Analysis, Probability & Statistics, Scatter Plots, Market Analysis, Supervised Learning, AI Personalization, Cross Selling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      44 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to statistics

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    statistics in psychological research
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    1…626364…106

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

    • Measurement – Turning Concepts into Data: Johns Hopkins University
    • Data Analysis in R: Predictive Analysis with Regression: Coursera Project Network
    • Use Tableau for Your Data Science Workflow: University of California, Irvine
    • Data Science as a Field: University of Colorado Boulder
    • Aléatoire : une introduction aux probabilités - Partie 2: École Polytechnique
    • Forecasting Financial Statements & Valuation for Accountants: University of Illinois Urbana-Champaign
    • Machine Learning Algorithms with R in Business Analytics: University of Illinois Urbana-Champaign
    • Google Analytics for Beginners: Marketing Essentials: Coursera Project Network
    • Machine Learning - Anomaly Detection via PyCaret: Coursera Project Network
    • Social Science Approaches to the Study of Chinese Society Part 1: The Hong Kong University of Science and Technology

    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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