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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: Preview
      Preview
      S

      Stanford University

      Game Theory

      Skills you'll gain: Game Theory, Strategic Decision-Making, Mathematical Modeling, Mathematical Theory & Analysis, Probability, Behavioral Economics, Bayesian Statistics, Problem Solving, Social Sciences

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.9K reviews

      Beginner · Course · 1 - 3 Months

    • 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
      U

      University of Amsterdam

      Inferential Statistics

      Skills you'll gain: Statistical Inference, Predictive Modeling, Regression Analysis, Statistics, Data Analysis, Statistical Modeling, Correlation Analysis

      4.3
      Rating, 4.3 out of 5 stars
      ·
      603 reviews

      Mixed · Course · 1 - 3 Months

    • 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
      R

      Rice University

      Business Statistics and Analysis Capstone

      Skills you'll gain: Statistical Methods, Business Analytics, Statistics, Data Analysis, Statistical Analysis, Business Analysis, Analytical Skills, Analysis, Descriptive Statistics, Predictive Analytics, Regression Analysis, Microsoft Excel

      4.7
      Rating, 4.7 out of 5 stars
      ·
      437 reviews

      Mixed · Course · 1 - 4 Weeks

    • 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
      I

      IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Data Visualization, Dashboard, Extract, Transform, Load, Pivot Tables And Charts, Data Visualization Software, Data Analysis, IBM Cognos Analytics, Data Cleansing, Excel Formulas, Statistical Analysis, Looker (Software), Data Quality, Business Analytics, Big Data, Microsoft Excel, Data Wrangling, Data Processing, Data Mining, Exploratory Data Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      28K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Statistics and Clustering in Python

      Skills you'll gain: Pandas (Python Package), Plot (Graphics), Data Visualization Software, NumPy, Data Manipulation, Scatter Plots, Unsupervised Learning, Descriptive Statistics, Statistical Analysis, Data Analysis, Machine Learning Algorithms, Statistics, Jupyter, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Santa Cruz

      Bayesian Statistics: Techniques and Models

      Skills you'll gain: Bayesian Statistics, Statistical Methods, Data Presentation, Statistical Modeling, Data Analysis, Probability & Statistics, Regression Analysis, Statistical Inference, R Programming, Markov Model, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      494 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

    • C

      Coursera Project Network

      Calculating Descriptive Statistics in R

      Skills you'll gain: Descriptive Statistics, Data Analysis, Statistical Analysis, Data Science, Probability & Statistics, Quantitative Research, Statistical Methods, R Programming, Histogram, Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      52 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Inferential and Predictive Statistics for Business

      Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Statistical Hypothesis Testing, Statistical Inference, Predictive Analytics, Statistical Analysis, Statistical Methods, Regression Analysis, Estimation, Probability & Statistics, Sampling (Statistics)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      866 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to statistics

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

    • Game Theory: Stanford University
    • Process Data from Dirty to Clean: Google
    • Inferential Statistics: University of Amsterdam
    • Summary Statistics in Public Health : Johns Hopkins University
    • Business Statistics and Analysis Capstone: Rice University
    • Understanding and Visualizing Data with Python: University of Michigan
    • Data Analysis and Visualization Foundations: IBM
    • Statistics and Clustering in Python: University of London
    • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
    • Using Descriptive Statistics to Analyze Data 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.

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