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

• 14 – 18 March 2022, Monday – Friday (5 days) — Johannesburg, South Africa
• 10 May – 02 June 2022, Tuesdays & Thursdays (4 weeks) — Online
• 16 – 20 May 2022, Monday – Friday (5 days) — Cape Town, South Africa
• 20 – 24 June 2022, Monday – Friday (5 days) — Abuja, Nigeria
• 02 – 25 August 2022, Tuesdays & Thursdays (4 weeks) — Online
• 15 – 19 August 2022, Monday – Friday (5 days) — Johannesburg, South Africa
• 17 – 21 October 2022, Monday – Friday (5 days) — Cape Town, South Africa
• 15 November – 08 December 2022, Tuesdays & Thursdays (4 weeks) — Online
• 05 – 09 December 2022, Monday – Friday (5 days) — Johannesburg, South Africa

Pricing

• Traditional training – (5 days, R13,000.00 excl. VAT)
• Online training – (4 weeks, R9,900.00 excl. VAT)

The course objectives include helping participants to:

• achieve the understanding of descriptive and inferential statistics;
• be able to summarise and present data collected in their settings;
• be able to make inferences from data using Stata.

The course uses a fine blend of didactic lectures, group exercises for every session and two project reports that simulate real life scenarios. 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

• 06 – 10 June 2022, Monday - Friday (5 days) — Johannesburg, South Africa
• 06 – 29 June 2022, Mondays & Wednesdays (4 weeks) — Online
• 28 November – 02 December 2022, Monday - Friday (5 days) — Johannesburg, South Africa
• 22 November – 15 December 2022, Tuesdays & Thursdays (4 weeks) — Online

Pricing

• 5 days, R13,500.00 excl. VAT per delegate
• 4 weeks, R10,550.00 excl. VAT per delegate

This course if for those who want to heighten their knowledge of data management and analysis and improve the quality of their outputs. Priority will be given to participants who have some experience with data analysis using Stata or similar software, as well as those who have attended CESAR’s Stata course in the past.

The course will teach participants the following:

• Definitions and dimensions of data quality
• Data management
• Combining data
• Learn to fix dates
• Handling string – inlist, stringmatch, inrange, trim and substring
• What is special about Stata egen command?
• Learn to aggregate the data
• Reshaping data
• Foreach and forvalues
• Automatic outputting of results

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

Available course dates

• 22 – 26 March 2022, Monday – Friday (5 days) — Johannesburg, South Africa
• 08 – 31 March 2022, Tuesdays & Thursdays (4 weeks) — Online
• 23 – 27 May 2022, Monday – Friday (5 days) — Cape Town, South Africa
• 27 June – 01 July 2022, Monday – Friday (5 days) — Abuja, Nigeria
• 07 – 30 June 2022, Tuesdays & Thursdays (4 weeks) — Online
• 15 – 19 August 2022, Monday – Friday (5 days) — Johannesburg, South Africa
• 30 August – 22 September 2022, Tuesdays & Thursdays (4 weeks) — Online
• 24 – 28 October 2022, Monday – Friday (5 days) — Johannesburg, South Africa
• 16 November – 09 December 2022, Wednesdays & Fridays (4 weeks) — Online

Pricing

• Traditional training – (5 days, R15,000.00 excl. VAT)
• Online training – (4 weeks, R11,550.00 excl. VAT)

Objectives:

This course teaches participants to fit multiple regression models and estimate measures of effect. Simple and multiple regression models for crude and adjusted effects will be covered. Three types of regression models will be covered – linear, quantile and logistic regression.

The course uses a fine blend of didactic lectures, group exercises for every session and two project reports that simulate real life scenarios. After the course, participants will be able to understand the link between bi-variate tests and regression model, for example, the link between t-test and linear regression and chi-squared test and logistic regression. They will also be able to build causal or predictive models and interpret the outputs. Furthermore, they will be able to adjust for confounders and estimate independent effects, thereby strengthening causal inference in their research.

The course is taught using Stata. So, it is a pre-requisite that the participants have at least one of the following:

1. Have attended CESAR’s level 1 course: Data Analysis and Management Course using Stata.
2. Have previous experience working with Stata.
3. Have no previous experience with Stata but can conduct bi-variate tests using another statistical package.

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.

For more information please visit the Stata website.

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