NetCourse and NetCourseNow: Stata's web-based training courses.
NetCourses are designed to help you learn Stata. Scheduled courses run for six to seven weeks with weekly lessons that can be viewed at your convenience. You can ask course leaders questions and communicate with other NetCourse participants using the course discussion board. Each week requires about 5-6 hours of study.
Would you like to choose the time and set the pace of a NetCourse? Would you like to have a personal NetCourse instructor? Then, enrol in a NetCourseNow. All lessons will be posted at once, and you will be given the email address of your personal NetCourse instructor to whom you can email questions about the lessons.
Introduction to Stata
Learn how to use all of Stata's tools and become a sophisticated Stata user. You will understand the Stata environment, how to import and export data from different formats, how Stata's intuitive syntax works, data management in Stata, matching and merging, how to analyse subgroups of data, how to reproduce your work and document it for publication and review, how to interact with the Stata community online, and more.
Videos, lessons, examples, and exercises combine to develop your Stata skills.
Statistical Graphics Using Stata
Learn how to communicate your data with Stata's powerful graphics features. This course will introduce different kinds of graphs and demonstrate how to use them for exploratory data analysis. Topics include how to use graphs to check model assumptions; how to format, save, and export your graphs for publication using the Graph Editor; how to create custom graph schemes; how to create complex graphs by layering and combining multiple graphs; how to use margins and marginsplot; and more. Bonus material includes information on user-written graph commands and useful data management tools.
Introduction to Stata Programming
Become an expert in organising your work in Stata. Make the most of Stata's scripting language to improve your workflow and create concretely reproducible analyses. Learn how branching, looping, flow of control, and accessing stored estimation results can speed up your work and lead to more complete analyses. Learn about bootstrapping and Monte Carlo simulations, too.
Writing Your Own Stata Commands
Learn how to create and debug your own commands that are indistinguishable from the commands in Stata. You will be able to parse both standard and nonstandard Stata syntax using the intuitive syntax command, to manage and process saved results, to post your own saved results, to process by-groups, to create data management commands, to program your own maximum-likelihood estimator, and more. In short, learn to create commands that act just like the commands that ship with Stata.
Univariate Time Series with Stata
Learn about univariate time-series analysis with an emphasis on the practical aspects most needed by practitioners and applied researchers. Written for a broad array of users, including economists, forecasters, financial analysts, managers, and anyone who wants to analyse time-series data. Become expert in handling date and date–time data, time-series operators, time-series graphics, basic forecasting methods, ARIMA, ARMAX, and seasonal models.
We provide lesson material, detailed answers to the questions posted at the end of each lesson, and access to a discussion board on which you can post questions for other students and the course leader to answer.
Introduction to Panel Data Using Stata
Become an expert in the analysis and implementation of linear, nonlinear, and dynamic panel-data estimators using Stata. This course focuses on the interpretation of panel-data estimates and the assumptions underlying the models that give rise to them. The course is geared for researchers and practitioners in all fields. The breadth of the lectures will be helpful if you want to learn about panel-data analysis or if you are familiar with the subjects.
The concepts presented are reinforced with practical exercises at the end of each section. We also provide additional exercises at the end of each lecture and access to a discussion board on which you can post questions for other students and the course leaders to answer.
Introduction to Survival Analysis Using Stata
Learn how to effectively analyse survival data using Stata. We cover censoring, truncation, hazard rates, and survival functions. Topics include data preparation, descriptive statistics, life tables, Kaplan–Meier curves, and semiparametric (Cox) regression and parametric regression. Discover how to set the survival-time characteristics of your dataset just once then apply any of Stata's many estimators and statistics to that data.
Written for everyone who uses Stata, whether health researchers or social scientists. We provide lesson material, detailed answers to the questions posted at the end of each lesson, and access to a discussion board on which you can post questions for other students and the course leader to answer.