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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
      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: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Data Integrity, Data Quality, Sampling (Statistics), Data Transformation, Data Validation, Data Wrangling, Data Manipulation, Data Analysis, SQL, Sample Size Determination, Exploratory Data Analysis, Spreadsheet Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Introduction to Probability and Data with R

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R Programming, Bayesian Statistics, Data Analysis, Probability Distribution, Probability, Statistical Analysis, Quantitative Research, Statistics, Statistical Inference, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.8K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universidad Nacional Autónoma de México

      Estadística y probabilidad

      Skills you'll gain: Descriptive Statistics, Data Analysis, Correlation Analysis, Statistical Analysis, Data Presentation, Statistical Visualization, Probability, Histogram, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Box Plots, Graphing, Scatter Plots

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Summary Statistics in Public Health

      Skills you'll gain: Biostatistics, Descriptive Statistics, Histogram, Statistical Visualization, Box Plots, Quantitative Research, Statistical Methods, Statistics, Probability & Statistics, Public Health, Time Series Analysis and Forecasting, Research Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Understanding and Visualizing Data with Python

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Data Visualization, Data Analysis, Exploratory Data Analysis, Histogram, Probability & Statistics, Data Visualization Software, Statistics, Statistical Analysis, Box Plots, Jupyter, Statistical Inference, Pandas (Python Package), Data Import/Export, Data Management, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Mixture Models

      Skills you'll gain: R Programming, Statistical Modeling, Markov Model, Bayesian Statistics, Statistical Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Probability & Statistics, Simulations, Sampling (Statistics)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      62 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      SAS

      Statistics with SAS

      Skills you'll gain: SAS (Software), Statistical Hypothesis Testing, Statistical Software, Statistical Analysis, Predictive Modeling, Statistical Programming, Statistical Modeling, Statistical Methods, Regression Analysis, Probability & Statistics, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      297 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      What are the Chances? Probability and Uncertainty in Statistics

      Skills you'll gain: Statistical Hypothesis Testing, Statistics, Regression Analysis, Statistical Methods, Probability, Statistical Analysis, Statistical Inference, Probability Distribution, Sampling (Statistics), Combinatorics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Statistics and Data Analysis with Excel, Part 2

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Analysis, Sample Size Determination, Statistical Methods, Microsoft Excel, Statistical Modeling, Probability & Statistics, Data Analysis, Statistical Inference

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Using Descriptive Statistics to Analyze Data in R

      Skills you'll gain: Descriptive Statistics, R Programming, Statistical Programming, Statistics, Data Quality, Statistical Reporting, Statistical Analysis, Data Processing, Data Manipulation, Data Import/Export

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Leeds

      Master of Science in Data Science (Statistics)

      Skills you'll gain: Statistical Hypothesis Testing, Regression Analysis, Web Scraping, Matplotlib, Statistical Machine Learning, Statistical Methods, Classification And Regression Tree (CART), Network Analysis, Planning, Applied Machine Learning, R Programming, Statistical Analysis, Data Analysis, Unsupervised Learning, Data Visualization Software, Supervised Learning, Statistical Modeling, Linear Algebra, Bayesian Statistics, Artificial Intelligence and Machine Learning (AI/ML)

      Earn a degree

      Degree · 1 - 4 Years

    Searches related to statistics

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

    • Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions: Rice University
    • Process Data from Dirty to Clean: Google
    • Introduction to Probability and Data with R: Duke University
    • Estadística y probabilidad: Universidad Nacional Autónoma de México
    • Summary Statistics in Public Health : Johns Hopkins University
    • Understanding and Visualizing Data with Python: University of Michigan
    • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
    • Statistics with SAS: SAS
    • What are the Chances? Probability and Uncertainty in Statistics: Johns Hopkins University
    • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder

    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.

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