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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


  • 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, Descriptive Statistics, Analytics, Analysis, Statistics, Quantitative Research, Statistical Methods, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    183 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Using Descriptive Statistics to Analyze Data in R

    Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Preprocessing, Statistics, Statistical Methods, Data Manipulation, Data Analysis Software, 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

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Statistical Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Logistic Regression, Python Programming, Data Visualization Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    715 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Introduction to Statistical Analysis: Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Correlation Analysis, SAS (Software), Regression Analysis, Statistical Methods, Probability & Statistics, Statistical Modeling, Plot (Graphics), Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
    ·
    175 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    BI Foundations with SQL, ETL and Data Warehousing

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Apache Airflow, Linux Commands, SQL, IBM Cognos Analytics, Data Pipelines, Apache Kafka, Bash (Scripting Language), Shell Script, Data Visualization, Dashboard, File Management, Star Schema, IBM DB2, Business Intelligence, Interactive Data Visualization, Relational Databases, Stored Procedure, Databases

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Engineering Probability and Statistics Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Process Data from Dirty to Clean

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Data Analytics with Excel and R

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization, Exploratory Data Analysis, Database Design, Shiny (R Package), Dashboard, Ggplot2, Data Wrangling, Data Visualization Software, Relational Databases, Statistical Visualization, Statistical Analysis, Big Data, Microsoft Excel, Analytical Skills, Excel Formulas, Data Manipulation, Web Scraping

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Eindhoven University of Technology

    Improving Your Statistical Questions

    Skills you'll gain: Science and Research, Research Design, Research, Quantitative Research, Experimentation, Sample Size Determination, Data Sharing, Statistical Inference, Statistical Methods, Statistical Analysis, Data Synthesis, R Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    112 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Data Science

    Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

    4.5
    Rating, 4.5 out of 5 stars
    ·
    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern Regression Analysis in R

    Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Model Evaluation, Feature Engineering

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    31 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Managing, Describing, and Analyzing Data

    Skills you'll gain: Sampling (Statistics), R (Software), Statistical Inference, Probability Distribution, R Programming, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Data Science, Statistics, Data Analysis, Statistical Analysis, Probability, Data Manipulation, Histogram

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

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

  • Data – What It Is, What We Can Do With It: Johns Hopkins University
  • Using Descriptive Statistics to Analyze Data in R: Coursera
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Introduction to Statistical Analysis: Hypothesis Testing: SAS
  • BI Foundations with SQL, ETL and Data Warehousing: IBM
  • Engineering Probability and Statistics Part 2: Northeastern University
  • Process Data from Dirty to Clean: Google
  • IBM Data Analytics with Excel and R: IBM
  • Improving Your Statistical Questions: Eindhoven University of Technology
  • Data Science: Johns Hopkins University

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