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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Coursera Instructor Network

Quantitative Research Methods: Tools for Data Analysis

Skills you'll gain: Quantitative Research, Data-Driven Decision-Making, Descriptive Statistics, Data Literacy, Data Analysis, Statistics, Research Design, Statistical Analysis, Microsoft Excel, Research Methodologies, R Programming, Data Presentation, Data Collection, Correlation Analysis, Data Ethics

Status: Free Trial

University of Michigan

Fundamentals of Data Analytics in the Public Sector with R

Skills you'll gain: Data Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Public Policies, R Programming, Statistical Programming, Data Transformation, Data Cleansing, Data Manipulation

Status: Free Trial

American Psychological Association

Measures of Variability

Skills you'll gain: Box Plots, Descriptive Statistics, Histogram, Probability & Statistics, Plot (Graphics), Graphing, Statistical Visualization, Statistical Analysis, Statistical Methods, Data Analysis, Analytical Skills

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

Status: Free Trial

University of Michigan

Inferential Statistical Analysis with Python

Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Data Analysis, Jupyter, Python Programming, Matplotlib, NumPy

Coursera Project Network

Statistics For Data Science

Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

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

Sapienza University of Rome

Macroeconomic Financial Accounts Course 2

Skills you'll gain: Financial Policy, Financial Systems, Microsoft Excel, Financial Data, Governmental Accounting, Financial Accounting, International Finance, Data Analysis, Economics, Fiscal Management, Financial Management, Quantitative Research, International Relations

Status: Free Trial

University of Michigan

Exploratory Data Analysis for the Public Sector with ggplot

Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Data Presentation, Ggplot2, Statistical Visualization, R Programming, Data Visualization Software, Data Analysis, Scatter Plots, Graphic and Visual Design, Histogram, Tidyverse (R Package), Public Administration, Trend Analysis, Policy Analysis

Status: Free Trial

University of Colorado Boulder

Modern Regression Analysis in R

Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Probability & Statistics, Correlation Analysis, Forecasting, Linear Algebra

Status: New

Status: Free Trial

University of Pennsylvania

Intro to Data Analytics, SQL, and EDA Using Python

Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Database Management, Data Visualization Software, Business Analytics, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy

Status: Free Trial

Johns Hopkins University

Developing Data Products

Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, User Interface (UI), Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management

Stata Courses Online

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Quantitative Research Methods: Tools for Data Analysis