Stata is basic statistical software that's used for data science. It covers data management, statistical analysis, custom programming, simulations, graphics, regression, automated reporting, Python integration, and data manipulation, among others. Stata was first developed in 1985 , but it remains useful across many industries today. There's even an annual Stata Conference held in the United States each year, and several Stata User Group meetings take place around the world, particularly in Europe.

Anyone who deals with data on a regular basis can benefit from learning Stata—it's one of the most widely used software in the world, particularly for those who want to analyze data patterns. Professionals in over 180 countries employ it regularly. Many prefer it over similar software because of its ability to turn data into visual graphics. And because it's used in so many fields in so many countries, you may encounter it in your line of work one day, so having a basic understanding of it may help you get ahead in your career quicker. Students may also use Stata as a part of their high school and postsecondary school courses.

What are typical careers that use Stata?

Most professionals who use Stata work in research in some capacity. It's most commonly found in the fields of biomedicine, economics, epidemiology, sociology, and political science. It's also commonly used by professors, researchers, and research assistants at colleges and universities. You may also use Stata in the fields of behavioral science, biostatistics, other areas of education, marketing, business, public health, and public policy.

What skills or experience do I need to already have, before starting to learn Stata?

Anyone who can use a computer and software can learn Stata. However, if you have a background in data science or have used other types of statistical software, you may find that you grasp its concepts quicker and easier.

What are the benefits of taking an online Stata course?

Online Stata courses offer a convenient and flexible way to enhance your knowledge or learn new Stata skills. Choose from a wide range of Stata courses offered by top universities and industry leaders tailored to various skill levels.

What Stata courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Stata, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Stata Courses - Learn Stata Online

Explore the Stata Course Catalog

Status: Free Trial
University of Colorado Boulder
Regression and Classification
Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Probability & Statistics, Supervised Learning, Applied Machine Learning
Build toward a degree
3.9
Rating, 3.9 out of 5 stars
14 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
University of Illinois Urbana-Champaign
Exploring and Producing Data for Business Decision Making
Skills you'll gain: Descriptive Statistics, Sampling (Statistics), Probability Distribution, Business Analytics, Statistics, Microsoft Excel, Analytics, Statistical Inference, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, Histogram, Data Collection, Data Presentation, Graphing
4.8
Rating, 4.8 out of 5 stars
1K reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Introduction to Microsoft Excel
Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Productivity Software, Expense Management, Budgeting, Inventory Management System
4.6
Rating, 4.6 out of 5 stars
42 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Conducting Exploratory Data Analysis
Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Data Visualization, Pandas (Python Package), Plot (Graphics), Statistical Visualization, Data Visualization Software, Scatter Plots, Data Analysis, Box Plots, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
SAS
Predictive Modeling with Logistic Regression using SAS
Skills you'll gain: SAS (Software), Predictive Modeling, Statistical Modeling, Big Data, Regression Analysis, Data Analysis Software, Advanced Analytics, Statistical Machine Learning, Feature Engineering, Performance Analysis, Performance Measurement, Statistical Analysis, Data Manipulation, Data Cleansing
4.6
Rating, 4.6 out of 5 stars
63 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Johns Hopkins University
Importing Data in the Tidyverse
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Integration, Data Manipulation, Data Transformation, Relational Databases, Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Storage, Application Programming Interface (API)
4.7
Rating, 4.7 out of 5 stars
49 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Using Descriptive Statistics to Analyze Data in R
Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Statistical Methods, Data Manipulation, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
93 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Johns Hopkins University
Modeling Data in the Tidyverse
Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Data Science, Classification And Regression Tree (CART), Statistical Inference, Predictive Analytics, Statistical Analysis, Rmarkdown, Probability & Statistics, Machine Learning
4.7
Rating, 4.7 out of 5 stars
9 reviews
Mixed · Course · 1 - 3 Months
Status: Free
O.P. Jindal Global University
Econometrics - Theory and Practice
Skills you'll gain: Econometrics, Regression Analysis, Statistical Hypothesis Testing, Statistical Modeling, Quantitative Research, Statistical Methods, Stata, Time Series Analysis and Forecasting, Correlation Analysis, Statistical Inference, Statistical Analysis, Probability & Statistics, Data Manipulation, Probability Distribution
Beginner · Course · 1 - 3 Months
Coursera Project Network
RStudio for Six Sigma - Basic Descriptive Statistics
Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Data Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Six Sigma Methodology, Box Plots, R Programming, Probability Distribution, Data Analysis
4.7
Rating, 4.7 out of 5 stars
64 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
University of Maryland, College Park
Combining and Analyzing Complex Data
Skills you'll gain: Statistical Analysis, Statistical Software, Data Integration, Data Ethics, Stata, R Programming, Sampling (Statistics), Statistical Modeling, Descriptive Statistics, Regression Analysis, Probability & Statistics, Information Privacy
4.1
Rating, 4.1 out of 5 stars
63 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
University of Colorado Boulder
Managing, Describing, and Analyzing Data
Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, Descriptive Statistics, Sampling (Statistics), Statistics, Probability & Statistics, Statistical Hypothesis Testing, R Programming, Data Analysis, Data Literacy, Probability, Statistical Visualization, Histogram
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
33 reviews
Beginner · Course · 1 - 3 Months