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Explore the Free Statistics Course Catalog


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    S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.2K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Investment Risk Management

    Skills you'll gain: Investment Management, Risk Management, Financial Analysis, Financial Management, Risk Analysis, Portfolio Management, Financial Market, Investments, Return On Investment, Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of North Texas

    Math Prep: College & Work Ready

    Skills you'll gain: Arithmetic, Probability & Statistics, Graphing, Geometry, Statistics, Algebra, Applied Mathematics, Systems Of Measurement

    4.5
    Rating, 4.5 out of 5 stars
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    324 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to Business Analysis Using Spreadsheets: Basics

    Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Data Analysis, Data Visualization Software, Business Analytics, Productivity Software, Business Analysis, Data Manipulation, Descriptive Statistics, Analysis, Statistics, Excel Formulas, Data Cleansing, Mathematical Software

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1K reviews

    Beginner · Guided Project · Less Than 2 Hours

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    U

    University of Cape Town

    Understanding Clinical Research: Behind the Statistics

    Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Probability & Statistics, Diagnostic Tests, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

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    D

    Duke University

    Introduction to Probability and Data with R

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

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

    Beginner · Course · 1 - 3 Months

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    D

    Duke University

    Linear Regression and Modeling

    Skills you'll gain: Regression Analysis, R (Software), Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Exploratory Data Analysis, Mathematical Modeling, Statistics, Predictive Modeling

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.8K reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of London

    Foundations of Data Science: K-Means Clustering in Python

    Skills you'll gain: Data Visualization, Matplotlib, Probability & Statistics, Data Science, Unsupervised Learning, Statistics, NumPy, Python Programming, Pandas (Python Package), Data Analysis, Machine Learning Algorithms, Descriptive Statistics, Machine Learning, Data Manipulation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    732 reviews

    Beginner · Course · 1 - 3 Months

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    C

    Codio

    Data Analysis in Python

    Skills you'll gain: Matplotlib, Statistical Hypothesis Testing, Data Analysis, Data Import/Export, Data Cleansing, Probability & Statistics, Data Manipulation, Statistics, Descriptive Statistics, Pandas (Python Package), Data Science, Python Programming, Programming Principles, Scripting, Computational Logic

    Mixed · Course · 1 - 3 Months

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    I

    Imperial College London

    Statistical Analysis with R for Public Health

    Skills you'll gain: Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Methods, Statistics, Public Health, Statistical Inference, Probability & Statistics, Time Series Analysis and Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 Months

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12

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

  • Introduction to Statistics: Stanford University
  • Investment Risk Management: Coursera
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London
  • Math Prep: College & Work Ready: University of North Texas
  • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera
  • Understanding Clinical Research: Behind the Statistics: University of Cape Town
  • Introduction to Probability and Data with R: Duke University
  • Linear Regression and Modeling : Duke University
  • Foundations of Data Science: K-Means Clustering in Python: University of London
  • Data Analysis in Python: Codio

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