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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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

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

Status: Free Trial

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 Transformation, Data Manipulation, Object Oriented Programming (OOP)

Status: Free Trial

University of Colorado Boulder

Statistics and Data Analysis with Excel, Part 2

Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Probability Distribution

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

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

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

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

Packt

The Simplest Guide™ to Clinical Data Analysis with SAS

Skills you'll gain: Clinical Trials, Clinical Data Management, Clinical Research, SAS (Software), Statistical Reporting, Pharmaceuticals, Data Analysis, Statistical Analysis, Data Transformation, Data Manipulation, Descriptive Statistics

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)

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

Status: Free Trial

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

Stata Courses Online

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