Stata training courses and resources

This page provides updates about upcoming Stata training courses and available learning resources.

Upcoming Stata training courses in South Africa

Available course dates:
Monday 8 – Friday 12 April 2019 (5 days) — Cape Town, South Africa,
Monday 13 – Friday 17 May 2019 (5 days) — Johannesburg, South Africa
and
Monday 7 – Friday 11 October 2018 (5 days) — Johannesburg, South Africa

Presented by CESAR (Centre for Statistical Analysis and Research)

Stata is arguably the best software for data management and statistical analysis. It is a fast, powerful statistical package designed for researchers of all disciplines. Stata is a complete, integrated statistical package that provides everything for data analysis from data management to basic analysis and advanced analysis. Stata makes it easy to conduct data cleaning and management, distinctly styled graphs, descriptive analysis and advanced analysis.

More Information and Registration
Visit the CESAR website for more information.

Available course dates:
Wednesday 7 – Friday 9 March 2019 (3 days) — Johannesburg, South Africa,
Wednesday 22 – Friday 24 August 2019 (3 days) — Johannesburg, South Africa
and
Wednesday 28 – Friday 30 November 2019 (3 days) — Cape Town, South Africa

Presented by CESAR (Centre for Statistical Analysis and Research)

Learn Stata, Research Methods, Descriptive Statistics and Inferential Statistics in one course.

The course objectives include helping participants achieve the understanding of descriptive and inferential statistics; be able to summarise and present data collected in their settings; and be able to make inferences from data using Stata. The course will teach participants the following:

• A cool introduction to Stata
• Data management
• Data Cleaning
• Descriptive statistics including Stata graphics
• Inferential statistics

Participants will be able to produce and interpret basic and intermediate descriptive and inferential statistics using Stata. As a result they will be able to take raw data, clean them, summarise them, analyse them and take appropriate action. They will also be able to interpret published research results for needed action.

More Information and Registration
Visit the CESAR website for more information.

Available course dates:
Monday 11 – Thursday 14 March 2019 (4 days) — Johannesburg, South Africa
and
Monday 26 – Thursday 29 August 2019 (4 days) — Johannesburg, South Africa

Presented by CESAR (Centre for Statistical Analysis and Research)

If you can calculate a mean, you can do multiple regression. Experience how we make multiple regression simple.

About the course: Every researcher wants to ensure that observed associations among variables are valid i.e. not due to confounders or bias. Multiple regression models are used to determine risk factors and predictors, adjusting for confounders. Therefore researchers and programme managers should be able to understand and interpret multiple regression methods and outputs.

The objectives of this course objectives include: Bivariate hypothesis testing, understanding validity: bias and confounding, use of regression to control for confounding, logistic and linear regression models, univariate (unadjusted) and multivariate (adjusted) models, building regression models, variable selection techniques, model assumptions, understanding and interpreting outputs This course teaches intermediate to advanced statistics using Stata.

Participants will be able to conduct inferential statistics and estimate measures of effect. They will be able to build statistical models adjusting for confounders, and interpret outputs.

More Information and Registration
Visit the CESAR website for more information.

Available course dates:
Wednesday 12 – Friday 14 June 2019 (3 days) — Johannesburg, South Africa
and
Wednesday 4 – Friday 6 December 2019 (3cesar days) — Johannesburg, South Africa

Presented by CESAR (Centre for Statistical Analysis and Research)

Every data analyst who is keen about producing accurate and excellent statistical outputs spends ample time exploring, “feeling” and cleaning their data before engaging on statistical analysis. It is in fact thought that data cleaning and management can take more time than the actual statistical analysis. This is because of two reasons. First, the validity of data analysis outputs depends on the quality of the data used. Second, a reviewer or reader of a report is more likely to spot data analysis errors than data cleaning and management errors. Despite the extreme importance of data cleaning and management for programme and research data, the concepts and procedures are rarely taught in postgraduate schools, and there are scarcely any short courses in the continent that cover them. This leave many data analysts without a systematic approach to data cleaning and management. After 15 years of data analysis experience in diverse projects and training data analysts, CESAR has drawn from its rich experience to put together a comprehensive data cleaning and management short course. The course will be taught using Stata and participants will be required to have some experience with Stata or similar software.

More Information and Registration
Visit the CESAR website for more information.

Stata learning resources

Learn Stata by enrolling for one of StataCorp's convenient web-based courses or find short courses offered by independent sources in your country.

Available NetCourses

• NetCourse 101: Introduction to Stata
  An introductory 6-week course that teaches how to use Stata interactively.
• NetCourse 120: Statistical Graphics Using Stata
  An introductory 6-week course that teaches Stata's statistical graphics features in the context of data analysis.
• NetCourse 151: Introduction to Stata Programming
  An introductory 6-week course that teaches Stata data-analysis programming to those who have a basic knowledge of using Stata interactively.
• NetCourse 251: Writing Your Own Stata Commands
  An advanced 7-week course that teaches how to add new commands.
• NetCourse 461: Univariate Time Series with Stata
  An introductory 7-week course that teaches the practical aspects of time series that are most needed by practitioners and applied researchers.
• NetCourse 471: Introduction to Panel Data Using Stata
  An introductory 6-week course that teaches the practical and conceptual aspects that are fundamental for practitioners and applied researchers who want to perform rigorous panel-data analysis.
• NetCourse 631: Introduction to Survival Analysis Using Stata
  An introductory 7-week course that teaches concepts such as censoring, truncation, hazard rates, and survivor functions, as well as the analysis of survival data.

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