What are the best statistics courses on Coursera?

Top statistics courses include Introduction to Statistics from Stanford University , Business Statistics and Analysis from Rice University , and Statistics with Python from the University of Michigan . These courses cover descriptive statistics, probability , hypothesis testing, and statistical modeling .

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

Find the Best Statistics Course for Your Goals

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, Data Collection, Probability Distribution
4.6
Rating, 4.6 out of 5 stars
4.1K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Amsterdam
Basic Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, R Programming
4.6
Rating, 4.6 out of 5 stars
4.6K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
University of Michigan
Statistics with Python
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Inference, Statistical Methods, Bayesian Statistics, Data Visualization, Statistics, Matplotlib, Statistical Visualization, Probability & Statistics, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Exploratory Data Analysis, Data Analysis, Python Programming
4.6
Rating, 4.6 out of 5 stars
3.3K reviews
Beginner · Specialization · 1 - 3 Months
Status: Free Trial
Meta
Statistics Foundations
Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Data Analysis Software, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Quantitative Research, Analytics, Descriptive Analytics, Time Series Analysis and Forecasting
4.7
Rating, 4.7 out of 5 stars
347 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Rice University
Business Statistics and Analysis
Skills you'll gain: Statistical Hypothesis Testing, Microsoft Excel, Pivot Tables And Charts, Regression Analysis, Statistics, Descriptive Statistics, Probability & Statistics, Graphing, Spreadsheet Software, Probability Distribution, Business Analytics, Statistical Analysis, Statistical Modeling, Statistical Inference, Excel Formulas, Data Analysis, Data Presentation, Business Analysis, Statistical Methods, Sample Size Determination
4.7
Rating, 4.7 out of 5 stars
13K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
University of Amsterdam
Methods and Statistics in Social Sciences
Skills you'll gain: Qualitative Research, Scientific Methods, Research, Statistical Hypothesis Testing, Statistical Analysis, Research Design, Sampling (Statistics), Science and Research, Interviewing Skills, Data Collection, Research Reports, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, Report Writing, R Programming
4.6
Rating, 4.6 out of 5 stars
7.7K reviews
Beginner · Specialization · 3 - 6 Months

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University of Cape Town
Understanding Clinical Research: Behind the Statistics
Skills you'll gain: Biostatistics, Statistical Methods, Statistical Hypothesis Testing, Probability & Statistics, Clinical Research, Statistical Analysis, Quantitative Research, Statistics, Descriptive Statistics, Statistical Inference, Data Collection, Probability
4.8
Rating, 4.8 out of 5 stars
3.6K reviews
Beginner · Course · 1 - 3 Months
University of London
Probability and Statistics: To p or not to p?
Skills you'll gain: Descriptive Statistics, Statistics, Probability & Statistics, Statistical Hypothesis Testing, Data-Driven Decision-Making, Data Analysis, Probability, Risk Modeling, Statistical Inference, Data Visualization Software, Mathematical Modeling
4.6
Rating, 4.6 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 3 Months
IIMA - IIM Ahmedabad
Pre-MBA Statistics
Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Inference, Estimation, Statistical Analysis, Descriptive Statistics, Data Analysis, Data Science
4.6
Rating, 4.6 out of 5 stars
286 reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
Duke University
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Literacy, Sampling (Statistics), Probability Distribution, Software Installation
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 3 Months
Status: Free Trial
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, Data Analysis, R Programming, Descriptive Statistics, Statistical Software, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistics, Statistical Methods, Public Health, Probability & Statistics, Epidemiology, Statistical Modeling
4.7
Rating, 4.7 out of 5 stars
2K reviews
Beginner · Specialization · 3 - 6 Months
Status: Free Trial
Johns Hopkins University
Biostatistics in Public Health
Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Research Design, Statistical Inference, Probability Distribution, Scientific Methods, Statistics, Data Analysis, Probability & Statistics, Public Health, Advanced Analytics
4.8
Rating, 4.8 out of 5 stars
2.4K reviews
Beginner · Specialization · 3 - 6 Months