Statistics courses

Build a strong foundation in statistics with courses designed for learners at any level. Whether you're exploring data science, working with data analytics, or just getting started, these courses cover key concepts like probability, distributions, and interpreting data. You'll gain practical skills to analyze and make sense of data in real-world contexts, helping you move confidently into more advanced topics or applied fields.
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87 total results

Statistics courses (18)

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Learn all the skills you need to land a new career in tech.
 
Learn all the concepts you need to gain a new technical skill.
 
Prepare and practice for top industry certifications.
 
Learn concepts used for specific languages or technologies.
 

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  1. Course

    Learn Statistics with Python

    Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.
    • With Certificate
    • Beginner Friendly.
      4 hours
  2. Skill path

    Master Statistics with Python

    Learn the statistics behind data science, from summary statistics to regression models.
    • Includes 9 Courses
    • With Certificate
    • Intermediate.
      26 hours
  3. Free course

    Learn Statistics with R

    Learn how to implement statistical models and run hypothesis tests in R.
    • Intermediate.
      4 hours
  4. Course

    Learn Statistics with NumPy

    Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.
    • With Certificate
    • Intermediate.
      4 hours
  5. Free course

    Statistics: Mean, Median, Mode

    Get started with the most popular summary statistics: mean, median, and mode.
    • Beginner Friendly.
      1 hour
  6. Free course

    Statistics: Boxplots

    Boxplots are the most compact way to visually represent descriptive statistics about a variable. Learn how to make them in this course.
    • Beginner Friendly.
      1 hour
  7. Free course

    Statistics: Variance and Standard Deviation

    Learn how to calculate, interpret, and report the variance and standard deviation
    • Beginner Friendly.
      1 hour
  8. Free course

    Statistics: Quartiles, Quantiles, and IQR

    Sometimes data needs to be described in terms of distributions, quartiles, quintiles, and IQR let you do just that.
    • Beginner Friendly.
      1 hour
  9. Free course

    Statistics: Histograms

    Learn how to work with bins and breaks to describe the distribution of a dataset.
    • Beginner Friendly.
      1 hour
  10. Skill path

    Data and Programming Foundations for AI

    Learn the coding, data science, and math you need to get started as a Machine Learning or AI engineer.
    • Includes 9 Courses
    • With Certificate
    • Beginner Friendly.
      39 hours
  11. Skill path

    Fundamental Math for Data Science

    Build the mathematical skills you need to work in data science.
    • Includes 8 Courses
    • With Certificate
    • Beginner Friendly.
      12 hours
  12. Skill path

    Analyze Data with Python

    Learn to analyze and visualize data using Python and statistics.
    • Includes 8 Courses
    • With Certificate
    • Intermediate.
      13 hours
  13. Free course

    Principles of Data Literacy

    Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.
    • Beginner Friendly.
      4 hours
  14. Course

    Exploratory Data Analysis in Python

    Learn how to use exploratory data analysis (EDA) techniques in Python to evaluate, summarize, and visualize your data.
    • With Certificate
    • Beginner Friendly.
      6 hours
  15. Free course

    Analyze NFL Stats with Python Case Study

    Use NFL team statistics to model game winners and discover the most important team-level stats
    • Beginner Friendly.
      1 hour
  16. Free course

    Linear Regression in Python

    Learn how to fit, interpret, and compare linear regression models in Python.
    • Intermediate.
      6 hours
  17. Free course

    Simple Linear Regression

    Learn how to fit and interpret linear regression with a single predictor variable
    • Beginner Friendly.
      2 hours
  18. Free course

    Hypothesis Testing: Significance Thresholds

    Learn how to evaluate statistical significance and the best thresholds to use.
    • Beginner Friendly.
      1 hour
1 - 18 of 18 results

Frequently asked questions about Statistics courses

  • Statistics is the study of collecting, analyzing, and interpreting data to uncover patterns and insights. In data science, it’s essential for building models, testing hypotheses, and making data-driven decisions. It provides the foundation for many techniques used in machine learning and analytics.

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