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.

Stanford University
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, Probability Distribution
Beginner · Course · 1 - 3 Months

University of Amsterdam
Skills you'll gain: Statistical Hypothesis Testing, Statistics, Scientific Methods, Quantitative Research, Data Analysis Software
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Bayesian Statistics, Data Visualization, Data Literacy, Statistics, Matplotlib, Statistical Software, Probability & Statistics, Plotly, Statistical Analysis, Jupyter, Statistical Programming, Regression Analysis, Data Visualization Software, Predictive Modeling, Python Programming
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Bayesian Statistics, Descriptive Statistics, Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Data Modeling, Statistics, Probability & Statistics, Statistical Analysis, Statistical Methods, Statistical Modeling, Marketing Analytics, Tableau Software, Data Analysis, Spreadsheet Software, Analytics, Time Series Analysis and Forecasting, Regression Analysis
Beginner · Course · 1 - 3 Months
Rice University
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
Beginner · Specialization · 3 - 6 Months

University of Amsterdam
Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Research Design, Sampling (Statistics), Research Reports, Science and Research, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Social Sciences, Surveys, Quantitative Research, Statistics, Regression Analysis, Statistical Inference, R Programming
Beginner · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
Beginner · Course · 1 - 3 Months

Birla Institute of Technology & Science, Pilani
Skills you'll gain: Data Analysis, Statistical Analysis, Analytics, Statistical Modeling, Predictive Modeling, Applied Mathematics, Data Visualization
Beginner · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Ggplot2, R (Software), R Programming, Data Analysis, Tidyverse (R Package), Data Visualization, Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Data Import/Export, Package and Software Management, Data Structures
Beginner · Course · 1 - 3 Months
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Correlation Analysis, Data Visualization
Beginner · Specialization · 3 - 6 Months

IIMA - IIM Ahmedabad
Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Visualization, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Sample Size Determination, Data Analysis, Data Science
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Storytelling, Rmarkdown, Data Literacy, Data Visualization, Data Presentation, Data Ethics, Data Cleansing, Data Validation, Ggplot2, R (Software), Tableau Software, Sampling (Statistics), Spreadsheet Software, Data Analysis, LinkedIn, Dashboard, Data Structures, Python Programming, Interviewing Skills, Professional Development
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
Browse the statistics courses below—popular starting points on Coursera.
Yes. You can start learning statistics on Coursera for free in two ways:
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.‎
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.‎
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.‎
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.‎