Monday 19th – Friday 23rd August (5 days) – Johannesburg, South Africa
Monday 07th – Friday 11th October (5 days) – Cape Town, South Africa
- Now includes data management & cleaning training -
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 generate publication-quality, distinctly styled graphs, including descriptive graphs, regression fit graphs, etc. With the integrated Graph Editor, you click to change anything about your graph or to add titles, notes, lines, arrows, and text. You can also choose between existing graph styles or create your own.
Stata is distributed in more than 150 countries and is used by professionals in many fields of research and business. The vast family of users of Stata across many disciplines is another reason Stata is a software of choice. A free 21-day teaching license will be given to each participant at this course.
The course objectives include helping participants to:
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.
The course will teach participants the following:
Study designs and data collection methods
From variables to datasets
Explore the capabilities of stata
Learn to use Stata: windows, commands, do-files, log files.
Import data in different formats into Stata
Export data in Stata into different formats
Appending, merging data from different sources
Applications of data combination
Data management procedures
Working with do-files
Data cleaning before and during analysis
Introduction to descriptive statistics
Introduction to Stata graphs
First project report
Inferential statistics and meaning of differences
Hypothesis testing, p-values and confidence intervals
Chi-squared t-test and Fisher exact test for categorical data
Parametric tests: t-test, ANOVA, correlation
Non-parametric tests: ranksum test, Kruskal Wallis, correlation
Measure of effect
Why multiple regression?
Second project report
All 5 days only R13,000.00 (excl. VAT) per delegate
Full refreshments: lunch
Two breaks for tea including pastries
Course lecture notes and training manual
Certificate of attendance
Who should attend?
Clinical and Medical researchers
For more details about our services contact
Tel: +27 11 403 1411