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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University of Colorado Boulder

Regression and Classification

Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Data Science, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Regression Analysis, Predictive Modeling, Statistical Inference, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Machine Learning Algorithms

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, Exploratory Data Analysis, Statistics

Status: Free Trial

Banco Interamericano de Desarrollo

Uso de datos en las organizaciones del S.XXI

Skills you'll gain: Data Collection, Business Intelligence, Data-Driven Decision-Making, Data Literacy, Data Analysis, Business Analytics, Data Ethics, Analytics, Big Data, Business Process, Diversity and Inclusion, Data Quality, Market Opportunities

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

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

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

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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

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

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SAS

Building a Large-Scale, Automated Forecasting System

Skills you'll gain: SAS (Software), Forecasting, Time Series Analysis and Forecasting, Statistical Methods, Predictive Modeling, Automation, Anomaly Detection, Data Processing, Data Modeling, Data Transformation

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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

Coursera Project Network

COVID19 Data Analysis Using Python

Skills you'll gain: Correlation Analysis, Seaborn, Data Cleansing, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Data Integration, Infectious Diseases

Politecnico di Milano

Data science perspectives on pandemic management

Skills you'll gain: Health Policy, Economics, Policy, and Social Studies, Environmental Monitoring, Policty Analysis, Research, and Development, Socioeconomics, Geographic Information Systems, Public Health, Infectious Diseases, Public Affairs, Network Analysis, Data Collection

Stata Courses Online

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