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 learn statistics for free on Coursera?

Yes. Many statistics courses offer a free audit option, allowing you to access video lessons and reading materials without payment. If you want to complete assignments or earn a certificate, you’ll need to pay 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

Status: Free Trial

Universidad de los Andes

Plataformas para procesar datos no tradicionales

Skills you'll gain: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Big Data, MongoDB, File Systems, Apache Hadoop, Distributed Computing, Data Architecture, Database Systems, Cloud Computing, Apache Spark, Public Cloud, Data Processing, Scalability, Databases, Environmental Monitoring, Image Analysis

EDUCBA

Regression & Forecasting for Data Scientists using Python

Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Feature Engineering, Statistical Analysis, Forecasting, Regression Analysis, Python Programming, Data Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Supervised Learning, Data Cleansing, Data Transformation

Coursera Project Network

Diabetes Disease Detection with XG-Boost and Neural Networks

Skills you'll gain: Artificial Neural Networks, Exploratory Data Analysis, Applied Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering

École Polytechnique Fédérale de Lausanne

Villes africaines: Mobilités et transports urbains

Skills you'll gain: Transportation Operations, Demography, Public Policies, Social Sciences, Economics, Policy, and Social Studies, Policy Analysis, Spatial Analysis, Socioeconomics, Sociology, Governance, Analysis

University of Leeds

Programming for Data Science

Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Software Installation, Data Structures, Data Science, Software Documentation, Debugging

Status: Free Trial

Emory University

Marketing Analytics Capstone Project

Skills you'll gain: Marketing Analytics, Exploratory Data Analysis, Predictive Modeling, Analytical Skills, Business Analytics, Regression Analysis, Data Analysis, Data Validation, Data Visualization

Coursera Project Network

Demand Planning in RStudio: Create Demand Forecast

Skills you'll gain: Demand Planning, Supply Chain Planning, Production Planning, Forecasting, Time Series Analysis and Forecasting, Trend Analysis, Inventory Management System, Plot (Graphics), R Programming, Data Visualization, Statistical Programming

Ball State University

Statistical Methods for Data Science

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

University of Illinois Urbana-Champaign

Getting Started with CyberGIS

Skills you'll gain: Geospatial Information and Technology, Geographic Information Systems, Apache Hadoop, Spatial Data Analysis, Geospatial Mapping, Spatial Analysis, Big Data, Matplotlib, Data Processing, Computational Thinking, Distributed Computing, Data Manipulation

Duke University

Inferenzstatistik

Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution, Software Installation

Status: Free

The Chinese University of Hong Kong

Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)

Skills you'll gain: Statistical Modeling, Statistical Analysis, SPSS, SAS (Software), Statistical Methods, Data Analysis Software, Correlation Analysis, Regression Analysis, Advanced Analytics, Econometrics, Exploratory Data Analysis, Social Sciences

Coursera Project Network

Scrape and analyze data analyst job requirements with Python

Skills you'll gain: Web Scraping, Data Visualization, Data Presentation, Data Cleansing, Exploratory Data Analysis, Scripting, Data Analysis, Data Manipulation, Data Import/Export, Data Capture, Data Transformation, Python Programming, Jupyter

Statistics Courses

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Find the Best Statistics Course for Your Goals

Plataformas para procesar datos no tradicionales

Regression & Forecasting for Data Scientists using Python

Diabetes Disease Detection with XG-Boost and Neural Networks