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

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Explore the Stata Course Catalog

American Psychological Association
Measures of Variability
Skills you'll gain: Box Plots, Descriptive Statistics, Histogram, Probability & Statistics, Plot (Graphics), Graphing, Statistical Visualization, Statistical Analysis, Statistics, Data Analysis
Beginner · Course · 1 - 3 Months
University of Colorado Boulder
Managing, Describing, and Analyzing Data
Skills you'll gain: Statistical Inference, Probability Distribution, Statistical Analysis, Descriptive Statistics, Sampling (Statistics), Statistics, Statistical Hypothesis Testing, R Programming, Data Analysis, Probability, Systems Of Measurement
Build toward a degree
4.7
Rating, 4.7 out of 5 stars
33 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
Exploratory Data Analysis for the Public Sector with ggplot
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Plot (Graphics), Ggplot2, Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Histogram, Tidyverse (R Package), Public Administration, Trend Analysis, Policy Analysis, Diversity Equity and Inclusion Initiatives
5
Rating, 5 out of 5 stars
11 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Statistics For Data Science
Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Sampling (Statistics), Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference, Exploratory Data Analysis
3.9
Rating, 3.9 out of 5 stars
33 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
RStudio for Six Sigma - Basic Descriptive Statistics
Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, Box Plots, R Programming, Probability Distribution, Data Synthesis, Probability & Statistics, Exploratory Data Analysis
4.7
Rating, 4.7 out of 5 stars
64 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Data Analysis in R: Predictive Analysis with Regression
Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistics
4.2
Rating, 4.2 out of 5 stars
12 reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Practical Data Wrangling with Pandas
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Pandas (Python Package), Data Visualization, Descriptive Statistics, Data Manipulation, Data Transformation, Data Analysis, Statistics, Statistical Analysis
Beginner · Guided Project · Less Than 2 Hours
University of Colorado Boulder
Modeling Climate Anomalies with Statistical Analysis
Skills you'll gain: Matplotlib, Pandas (Python Package), Statistical Analysis, Data Science, Data Analysis, Python Programming, Data Visualization Software, NumPy, Statistical Modeling, Time Series Analysis and Forecasting, Regression Analysis, Data Integration, Data Manipulation, Application Programming Interface (API)
Build toward a degree
Intermediate · Course · 1 - 4 Weeks
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, Data Processing, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
92 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Politecnico di Milano
Data science perspectives on pandemic management
Skills you'll gain: Economics, Policy, and Social Studies, Crisis Management, Environmental Monitoring, Geographic Information Systems, Data-Driven Decision-Making, Policy Analysis, Financial Modeling, Health Care, Financial Analysis, Network Analysis, Data Collection, Media and Communications
4.5
Rating, 4.5 out of 5 stars
6 reviews
Beginner · Course · 1 - 3 Months
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, Analysis, Data Analysis, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
Status: New
Corporate Finance Institute
Regression Analysis - Fundamentals & Practical Applications
Skills you'll gain: Regression Analysis, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Scatter Plots, Supervised Learning, Exploratory Data Analysis, Descriptive Statistics, Pandas (Python Package)
Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular stata courses

Measures of Variability: American Psychological Association
Managing, Describing, and Analyzing Data: University of Colorado Boulder
Exploratory Data Analysis for the Public Sector with ggplot: University of Michigan
Statistics For Data Science: Coursera Project Network
RStudio for Six Sigma - Basic Descriptive Statistics: Coursera Project Network
Data Analysis in R: Predictive Analysis with Regression: Coursera Project Network
Practical Data Wrangling with Pandas: Coursera Project Network
Modeling Climate Anomalies with Statistical Analysis: University of Colorado Boulder
Using Descriptive Statistics to Analyze Data in R: Coursera Project Network
Data science perspectives on pandemic management: Politecnico di Milano

Stata Courses Online