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Statistics Courses

Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.

Popular Statistics Courses and Certifications


  • C

    Coursera

    Calculating Descriptive Statistics in R

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    52 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    E

    EDUCBA

    Analyze Data Using Essential Statistics for Analytics

    Skills you'll gain: Sampling (Statistics), Data Literacy, Statistical Visualization, Data Visualization, Data Analysis, Descriptive Statistics, Box Plots, Statistics, Plot (Graphics), Statistical Methods, Data Analysis Software, Statistical Analysis, Probability & Statistics, Statistical Programming, Data Visualization Software, Business Analytics, Statistical Software, Data Presentation, Exploratory Data Analysis, Analytics

    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 Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Software, Sampling (Statistics), Mathematical Modeling, Regression Analysis, R Programming, Simulations, Statistical Inference, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    497 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Capstone Project

    Skills you'll gain: Bayesian Statistics, Technical Communication, Statistical Reporting, R Programming, Statistical Analysis, Statistical Programming, Statistical Modeling, Data Analysis, Statistical Software, Time Series Analysis and Forecasting, R (Software), Markov Model, Statistical Methods, Sampling (Statistics), Simulations, Model Evaluation, Probability Distribution

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, Statistical Programming, R Programming, R (Software), Statistical Reporting, Data Quality, Data Preprocessing, Data Cleansing, Statistics, Data Processing, Statistical Methods, Statistical Software, Data Analysis Software, Statistical Analysis, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
    ·
    93 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Understanding and Visualizing Data with Python

    Skills you'll gain: Sampling (Statistics), Data Visualization, Plot (Graphics), Data Literacy, Statistics, Scientific Visualization, Matplotlib, Statistical Visualization, Statistical Programming, Probability & Statistics, Jupyter, Statistical Methods, Data Analysis, Statistical Analysis, Exploratory Data Analysis, Descriptive Statistics, Statistical Inference, Data Collection, NumPy, Python Programming

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Uncover Data's True Story: Statistics Unveiled

    Skills you'll gain: Descriptive Statistics, Data Literacy, Data Analysis, Descriptive Analytics, Exploratory Data Analysis, Data Presentation, Statistical Visualization, Statistical Reporting, Data Transformation, Statistics, Data Visualization Software, Data Storytelling, Statistical Methods, Technical Communication, Statistical Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Statistical Modeling, Advanced Analytics, Data-Driven Decision-Making, Data Analysis, Analytics, Data Analysis Software, Simulations, Probability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    97 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Applied Software Engineering Fundamentals

    Skills you'll gain: Unit Testing, Software Development Life Cycle, Linux Commands, Software Architecture, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Full-Stack Web Development, Flask (Web Framework), Software Design, Version Control, File Management, Unix Shell, Web Development, Linux, Application Deployment, Data Import/Export, Python Programming, NumPy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    52K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    RStudio for Six Sigma - Basic Descriptive Statistics

    Skills you'll gain: Sampling (Statistics), Plot (Graphics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Programming, Descriptive Analytics, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    68 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data – What It Is, What We Can Do With It

    Skills you'll gain: Data Literacy, Data Visualization, Data Analysis, Research Design, Data Presentation, Descriptive Statistics, Analytics, Exploratory Data Analysis, Descriptive Analytics, Research Methodologies, Analysis, Statistics, Statistical Analysis, Quantitative Research, Statistical Methods, Probability & Statistics, Graphing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    184 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

1…8910…159

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

  • Calculating Descriptive Statistics in R: Coursera
  • Analyze Data Using Essential Statistics for Analytics: EDUCBA
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Bayesian Statistics: Capstone Project: University of California, Santa Cruz
  • Using Descriptive Statistics to Analyze Data in R: Coursera
  • Understanding and Visualizing Data with Python: University of Michigan
  • Uncover Data's True Story: Statistics Unveiled: Coursera
  • Math behind Moneyball: University of Houston
  • Applied Software Engineering Fundamentals: IBM
  • RStudio for Six Sigma - Basic Descriptive Statistics: Coursera

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