What are the best statistics courses online?

Browse the statistics courses below—popular starting points on Coursera. Introduction to Statistics: Stanford University Basic Statistics: University of Amsterdam Statistics and Calculus Methods for Data Analysis: University of Pittsburgh The Power of Statistics: Google Statistics Foundations: Meta Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI

Can I take free statistics courses on Coursera?

Yes. You can start learning statistics on Coursera for free in two ways: Preview the first module of many statistics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available). Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial. If you want to keep learning, earn a certificate in statistics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.

What will I learn in a statistics course?

You’ll learn how to collect, interpret, and present data; calculate key metrics like mean and standard deviation; and apply statistical techniques such as regression analysis , probability distributions , and confidence intervals. Some courses also include hands-on practice with Excel , R , or Python .

Do I need a strong math background to start learning statistics?

Not necessarily. Many Coursera statistics courses are designed for beginners and explain core concepts step by step. Some basic comfort with numbers is helpful, but you don’t need advanced math experience to get started.

Can learning statistics help me in my career?

Yes. Statistics is essential in fields like business , healthcare , data science , psychology , and research. Learning statistics on Coursera can help you analyze data, make informed decisions, and gain skills that are valuable in both academic and professional settings.

Top Statistics Courses - Learn Statistics Online

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Statistics

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
Google
The Power of Statistics
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication
4.8
Rating, 4.8 out of 5 stars
859 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Science, Statistics, Probability Distribution, Mathematical Modeling, Data Analysis, Applied Mathematics, Predictive Modeling
4.4
Rating, 4.4 out of 5 stars
781 reviews
Advanced · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Macquarie University
Statistics and Data Analysis with Excel: Advanced
Skills you'll gain: Data-Driven Decision-Making, Microsoft Excel, Forecasting, Regression Analysis, Business Analytics, Statistical Analysis, Data Analysis Software, Time Series Analysis and Forecasting, Analytics, Statistical Methods, Advanced Analytics, Data Analysis, Statistics, Data Visualization Software, Probability & Statistics, Statistical Inference, Statistical Modeling, Variance Analysis
4.7
Rating, 4.7 out of 5 stars
21 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Advanced Linear Models for Data Science 1: Least Squares
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, Advanced Mathematics
4.5
Rating, 4.5 out of 5 stars
188 reviews
Advanced · Course · 1 - 3 Months
Status: Free Trial
IBM
AI Workflow: Data Analysis and Hypothesis Testing
Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Quality, Data Manipulation, Python Programming, Machine Learning
4.3
Rating, 4.3 out of 5 stars
127 reviews
Advanced · Course · 1 - 4 Weeks

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In summary, here are 5 of our most popular statistics courses

The Power of Statistics: Google
Advanced Statistics for Data Science: Johns Hopkins University
Statistics and Data Analysis with Excel: Advanced: Macquarie University
Advanced Linear Models for Data Science 1: Least Squares: Johns Hopkins University
AI Workflow: Data Analysis and Hypothesis Testing: IBM

Frequently Asked Questions about Statistics

Yes. You can start learning statistics on Coursera for free in two ways:

Preview the first module of many statistics courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in statistics, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.